CTL inducing peptides from c-erb2 (HER-2/neu)

Abstract

The present invention provides the means and methods for selecting immunogenic peptides and the immunogenic peptide compositions capable of specifically binding glycoproteins encoded by HLA-A2.1 allele and inducing T cell activation in T cells restricted by the A2.1 allele. The peptides are useful to elicit an immune response against a desired antigen.

Description

BACKGROUND OF THE INVENTION

[0002] The present invention relates to compositions and methods for preventing, treating or diagnosing a number of pathological states such as viral diseases and cancers. In particular, it provides novel peptides capable of binding selected major histocompatibility complex (MHC) molecules and inducing an immune response.

[0003] MHC molecules are classified as either Class I or Class II molecules. Class II MHC molecules are expressed primarily on cells involved in initiating and sustaining immune responses, such as T lymphocytes, B lymphocytes, macrophages, etc. Class II MHC molecules are recognized by helper T lymphocytes and induce proliferation of helper T lymphocytes and amplification of the immune response to the particular immunogenic peptide that is displayed. Class I MHC molecules are expressed on almost all nucleated cells and are recognized by cytotoxic T lymphocytes (CTLs), which then destroy the antigen-bearing cells. CTLs are particularly important in tumor rejection and in fighting viral infections.

[0004] The CTL recognizes the antigen in the form of a peptide fragment bound to the MHC class I molecules rather than the intact foreign antigen itself. The antigen must normally be endogenously synthesized by the cell, and a portion of the protein antigen is degraded into small peptide fragments in the cytoplasm. Some of these small peptides translocate into a pre-Golgi compartment and interact with class I heavy chains to facilitate proper folding and association with the subunit β2 microglobulin. The peptide-MHC class I complex is then routed to the cell surface for expression and potential recognition by specific CTLs.

[0005] Investigations of the crystal structure of the human MHC class I molecule, HLA-A2.1, indicate that a peptide binding groove is created by the folding of the α1 and α2 domains of the class I heavy chain (Bjorkman et al., Nature 329:506 (1987). In these investigations, however, the identity of peptides bound to the groove was not determined.

[0006] Buus et al., Science 242:1065 (1988) first described a method for acid elution of bound peptides from MHC. Subsequently, Rammensee and his coworkers (Falk et al., Nature 351:290 (1991) have developed an approach to characterize naturally processed peptides bound to class I molecules. Other investigators have successfully achieved direct amino acid sequencing of the more abundant peptides in various HPLC fractions by conventional automated sequencing of peptides eluted from class I molecules of the B type (Jardetzky, et al., Nature 353:326 (1991) and of the A2.1 type by mass spectrometry (Hunt, et al., Science 225:1261 (1992). A review of the characterization of naturally processed peptides in MHC Class I has been presented by Rötzschke and Falk (Rötzschke and Falk, Immunol. Today 12:447 (1991).

[0007] Sette et al., Proc. Natl. Acad. Sci. USA 86:3296 (1989) showed that MHC allele specific motifs could be used to predict MHC binding capacity. Schaeffer et al., Proc. Natl. Acad. Sci. USA 86:4649 (1989) showed that MHC binding was related to immunogenicity. Several authors (De Bruijn et al., Eur. J. Immunol., 21:2963-2970 (1991); Pamer et al., 991 Nature 353:852-955 (1991)) have provided preliminary evidence that class I binding motifs can be applied to the identification of potential immunogenic peptides in animal models. Class I motifs specific for a number of human alleles of a given class I isotype have yet to be described. It is desirable that the combined frequencies of these different alleles should be high enough to cover a large fraction or perhaps the majority of the human outbred population.

[0008] Despite the developments in the art, the prior art has yet to provide a useful human peptide-based vaccine or therapeutic agent based on this work. The present invention provides these and other advantages.

SUMMARY OF THE INVENTION

[0009] The present invention provides compositions comprising immunogenic peptides having binding motifs for HLA-A2.1 molecules. The immunogenic peptides, which bind to the appropriate MHC allele, are preferably 9 to 10 residues in length and comprise conserved residues at certain positions such as positions 2 and 9. Moreover, the peptides do not comprise negative binding residues as defined herein at other positions such as positions 1, 3, 6 and/or 7 in the case of peptides 9 amino acids in length and positions 1, 3, 4, 5, 7, 8 and/or 9 in the case of peptides 10 amino acids in length. The present invention defines positions within a motif enabling the selection of peptides which will bind efficiently to HLA A2.1.

[0010] Epitopes on a number of immunogenic target proteins can be identified using the peptides of the invention. Examples of suitable antigens include prostate cancer specific antigen (PSA), hepatitis B core and surface antigens (HBVc, HBVs) hepatitis C antigens, Epstein-Barr virus antigens, human immunodeficiency type-1 virus (HIV1) and papilloma virus antigens. The peptides are thus useful in pharmaceutical compositions for both in vivo and ex vivo therapeutic and diagnostic applications.

Definitions

[0011] The term “peptide” is used interchangeably with “oligopeptide” in the present specification to designate a series of residues, typically L-amino acids, connected one to the other typically by peptide bonds between the alpha-amino and carbonyl groups of adjacent amino acids. The oligopeptides of the invention are less than about 15 residues in length and usually consist of between about 8 and about 11 residues, preferably 9 or 10 residues.

[0012] An “immunogenic peptide” is a peptide which comprises an allele-specific motif such that the peptide will bind an MHC molecule and induce a CTL response. Immunogenic peptides of the invention are capable of binding to an appropriate HLA-A2.1 molecule and inducing a cytotoxic T cell response against the antigen from which the immunogenic peptide is derived.

[0013] Immunogenic peptides are conveniently identified using the algorithms of the invention. The algorithms are mathematical procedures that produce a score which enables the selection of immunogenic peptides. Typically one uses the algorithmic score with a “binding threshold” to enable selection of peptides that have a high probability of binding at a certain affinity and will in turn be immunogenic. The algorithm is based upon either the effects on MHC binding of a particular amino acid at a particular position of a peptide or the effects on binding of a particular substitution in a motif containing peptide.

[0014] A “conserved residue” is an amino acid which occurs in a significantly higher frequency than would be expected by random distribution at a particular position in a peptide. Typically a conserved residue is one where the MHC structure may provide a contact point with the immunogenic peptide. One to three, preferably two, conserved residues within a peptide of defined length defines a motif for an immunogenic peptide. These residues are typically in close contact with the peptide binding groove, with their side chains buried in specific pockets of the groove itself. Typically, an immunogenic peptide will comprise up to three conserved residues, more usually two conserved residues.

[0015] As used herein, “negative binding residues” are amino acids which if present at certain positions (for example, positions 1, 3 and/or 7 of a 9-mer) will result in a peptide being a nonbinder or poor binder and in turn fail to be immunogenic i.e. induce a CTL response.

[0016] The term “motif” refers to the pattern of residues in a peptide of defined length, usually about 8 to about 11 amino acids, which is recognized by a particular MHC allele. The peptide motifs are typically different for each human MHC allele and differ in the pattern of the highly conserved residues and negative residues.

[0017] The binding motif for an allele can be defined with increasing degrees of precision. In one case, all of the conserved residues are present in the correct positions in a peptide and there are no negative residues in positions 1,3 and/or 7.

[0018] The phrases “isolated” or “biologically pure” refer to material which is substantially or essentially free from components which normally accompany it as found in its native state. Thus, the peptides of this invention do not contain materials normally associated with their in situ environment, e.g., MHC I molecules on antigen presenting cells. Even where a protein has been isolated to a homogenous or dominant band, there are trace contaminants in the range of 5-10% of native protein which co-purify with the desired protein. Isolated peptides of this invention do not contain such endogenous co-purified protein.

[0019] The term “residue” refers to an amino acid or amino acid mimetic incorporated in an oligopeptide by an amide bond or amide bond mimetic.

BRIEF DESCRIPTION OF THE DRAWINGS

[0020] FIG. 1 is a flow diagram of an HLA-A purification scheme.

[0021] FIG. 2 shows a scattergram of the log of relative binding plotted against the “Grouped Ratio” algorithm for 9 mer peptides.

[0022] FIG. 3 shows a scattergram of the log of relative binding plotted against the average “Log of Binding” algorithm score for 9 mer peptides.

[0023] FIGS. 4 and 5 show scattergrams of a set of 10-mer peptides containing preferred residues in positions 2 and 10 as scored by the “Grouped Ratio” and “Log of Binding” algorithms.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0024] The present invention relates to the determination of allele-specific peptide motifs for human Class I MHC (sometimes referred to as HLA) allele subtypes, in particular, peptide motifs recognized by HLA-A2.1 alleles. These motifs are then used to define T cell epitopes from any desired antigen, particularly those associated with human viral diseases, cancers or autoiummune diseases, for which the amino acid sequence of the potential antigen or autoantigen targets is known.

[0025] Epitopes on a number of potential target proteins can be identified in this manner. Examples of suitable antigens include prostate specific antigen (PSA), hepatitis B core and surface antigens (HBVc, HBVs) hepatitis C antigens, Epstein-Barr virus antigens, melanoma antigens (e.g., MAGE-1), human immunodeficiency virus (HIV) antigens and human papilloma virus (HPV) antigens.

[0026] The peptides of the invention may also be employed to relieve the symptoms of, treat or prevent the occurrence or reoccurrence of autoimuune diseases. Such diseases include, for example, multiple sclerosis (MS), rheumatoid arthritis (RA), Sjogren syndrome, scleroderma, polymyositis, dermatomyositis, systemic lupus erythematosus, juvenile rheumatoid arthritis, ankylosing spondylitis, myasthenia gravis (MG), bullous pemphigoid (antibodies to basement membrane at dermal-epidermal junction), pemphigus (antibodies to mucopolysaccharide protein complex or intracellular cement substance), glomerulonephritis (antibodies to glomerular basement membrane), Goodpasture's syndrome, autoimmune hemolytic anemia (antibodies to erythrocytes), Hashimoto's disease (antibodies to thyroid), pernicious anemia (antibodies to intrinsic factor), idiopathic thrombocytopenic purpura (antibodies to platelets), Grave's disease, and Addison's disease (antibodies to thyroglobulin), and the like.

[0027] The autoantigens associated with a number of these diseases have been identified. For example, in experimentally induced autoimmune diseases, antigens involved in pathogenesis have been characterized: in arthritis in rat and mouse, native type-II collagen is identified in collagen-induced arthritis, and mycobacterial heat shock protein in adjuvant arthritis; thyroglobulin has been identified in experimental allergic thyroiditis (EAT) in mouse; acetyl choline receptor (AChR) in experimental allergic myasthenia gravis (EAMG); and myelin basic protein (MBP) and proteolipid protein (PLP) in experimental allergic encephalomyelitis (EAE) in mouse and rat. In addition, target antigens have been identified in humans: type-II collagen in human rheumatoid arthritis; and acetyl choline receptor in myasthenia gravis.

[0028] Peptides comprising the epitopes from these antigens are synthesized and then tested for their ability to bind to the appropriate MHC molecules in assays using, for example, purified class I molecules and radioiodonated peptides and/or cells expressing empty class I molecules by, for instance, immunofluorescent staining and flow microfluorometry, peptide-dependent class I assembly assays, and inhibition of CTL recognition by peptide competition. Those peptides that bind to the class I molecule are further evaluated for their ability to serve as targets for CTLs derived from infected or immunized individuals, as well as for their capacity to induce primary in vitro or in vivo CTL responses that can give rise to CTL populations capable of reacting with virally infected target cells or tumor cells as potential therapeutic agents.

[0029] The MHC class I antigens are encoded by the HLA-A, B, and C loci. HLA-A and B antigens are expressed at the cell surface at approximately equal densities, whereas the expression of HLA-C is significantly lower (perhaps as much as 10-fold lower). Each of these loci have a number of alleles. The peptide binding motifs of the invention are relatively specific for each allelic subtype.

[0030] For peptide-based vaccines, the peptides of the present invention preferably comprise a motif recognized by an MHC I molecule having a wide distribution in the human population. Since the MHC alleles occur at different frequencies within different ethnic groups and races, the choice of target MHC allele may depend upon the target population. Table 1 shows the frequency of various alleles at the HLA-A locus products among different races. For instance, the majority of the Caucasoid population can be covered by peptides which bind to four HLA-A allele subtypes, specifically HLA-A2.1, A1, A3.2, and A24.1. Similarly, the majority of the Asian population is encompassed with the addition of peptides binding to a fifth allele HLA-A11.2.

	TABLE 1
	A Allele/Subtype	N(69)*	A(54)	C(502)
	A1	10.1(7)	1.8(1)	27.4(138)
	A2.1	11.5(8)	37.0(20)	39.8(199)
	A2.2	10.1(7)	0	3.3(17)
	A2.3	1.4(1)	5.5(3)	0.8(4)
	A2.4	—	—	—
	A2.5	—	—	—
	A3.1	1.4(1)	0	0.2(0)
	A3.2	5.7(4)	5.5(3)	21.5(108)
	A11.1	0	5.5(3)	0
	A11.2	5.7(4)	31.4(17)	8.7(44)
	A11.3	0	3.7(2)	0
	A23	4.3(3)	—	3.9(20)
	A24	2.9(2)	27.7(15)	15.3(77)
	A24.2	—	—	—
	A24.3	—	—	—
	A25	1.4(1)	—	6.9(35)
	A26.1	4.3(3)	9.2(5)	5.9(30)
	A26.2	7.2(5)	—	1.0(5)
	A26V	—	3.7(2)	—
	A28.1	10.1(7)	—	1.6(8)
	A28.2	1.4(1)	—	7.5(38)
	A29.1	1.4(1)	—	1.4(7)
	A29.2	10.1(7)	1.8(1)	5.3(27)
	A30.1	8.6(6)	—	4.9(25)
	A30.2	1.4(1)	—	0.2(1)
	A30.3	7.2(5)	—	3.9(20)
	A31	4.3(3)	7.4(4)	6.9(35)
	A32	2.8(2)	—	7.1(36)
	Aw33.1	8.6(6)	—	2.5(13)
	Aw33.2	2.8(2)	16.6(9)	1.2(6)
	Aw34.1	1.4(1)	—	—
	Aw34.2	14.5(10)	—	0.8(4)
	Aw36	5.9(4)	—	—
	Table compiled from B. DuPont, Immunobiology of HLA, Vol. I, Histocompatibility Testing 1987, Springer-Verlag, New York 1989.
	*N - negroid;
	A = Asian;
	C = caucasoid.
	Numbers in parenthesis represent the number of individuals in the analysis.

[0031] Table compiled from B. DuPont, Immunobiology of HLA, Vol. I, Histocompatibility Testing 1987, Springer-Verlag, New York 1989.

[0032] The nomenclature used to describe peptide compounds follows the conventional practice wherein the amino group is presented to the left (the N-terminus) and the carboxyl group to the right (the C-terminus) of each amino acid residue. In the formulae representing selected specific embodiments of the present invention, the amino- and carboxyl-terminal groups, although not specifically shown, are in the form they would assume at physiologic pH values, unless otherwise specified. In the amino acid structure formulae, each residue is generally represented by standard three letter or single letter designations. The L-form of an amino acid residue is represented by a capital single letter or a capital first letter of a three-letter symbol, and the D-form for those amino acids having D-forms is represented by a lower case single letter or a lower case three letter symbol. Glycine has no asymmetric carbon atom and is simply referred to as “Gly” or G.

[0033] The procedures used to identify peptides of the present invention generally follow the methods disclosed in Falk et al., Nature 351:290 (1991), which is incorporated herein by reference. Briefly, the methods involve large-scale isolation of MHC class I molecules, typically by immunoprecipitation or affinity chromatography, from the appropriate cell or cell line. Examples of other methods for isolation of the desired MHC molecule equally well known to the artisan include ion exchange chromatography, lectin chromatography, size exclusion, high performance ligand chromatography, and a combination of all of the above techniques.

[0034] In the typical case, immunoprecipitation is used to isolate the desired allele. A number of protocols can be used, depending upon the specificity of the antibodies used. For example, allele-specific mAb reagents can be used for the affinity purification of the HLA-A, HLA-B1, and HLA-C molecules. Several mAb reagents for the isolation of HLA-A molecules are available. The monoclonal BB7.2 is suitable for isolating HLA-A2 molecules. Affinity columns prepared with these mAbs using standard techniques are successfully used to purify the respective HLA-A allele products.

[0035] In addition to allele-specific mAbs, broadly reactive anti-HLA-A, B, C mAbs, such as W6/32 and B9.12.1, and one anti-HLA-B, C mAb, B1.23.2, could be used in alternative affinity purification protocols as described in the example section below.

[0036] The peptides bound to the peptide binding groove of the isolated MHC molecules are eluted typically using acid treatment. Peptides can also be dissociated from class I molecules by a variety of standard denaturing means, such as heat, pH, detergents, salts, chaotropic agents, or a combination thereof.

[0037] Peptide fractions are further separated from the MHC molecules by reversed-phase high performance liquid chromatography (HPLC) and sequenced. Peptides can be separated by a variety of other standard means well known to the artisan, including filtration, ultrafiltration, electrophoresis, size chromatography, precipitation with specific antibodies, ion exchange chromatography, isoelectrofocusing, and the like.

[0038] Sequencing of the isolated peptides can be performed according to standard techniques such as Edman degradation (Hunkapiller, M. W., et al., Methods Enzymol. 91, 399 [1983]). Other methods suitable for sequencing include mass spectrometry sequencing of individual peptides as previously described (Hunt, et al., Science 225:1261 (1992), which is incorporated herein by reference). Amino acid sequencing of bulk heterogenous peptides (e.g., pooled HPLC fractions) from different class I molecules typically reveals a characteristic sequence motif for each class I allele.

[0039] Definition of motifs specific for different class I alleles allows the identification of potential peptide epitopes from an antigenic protein whose amino acid sequence is known. Typically, identification of potential peptide epitopes is initially carried out using a computer to scan the amino acid sequence of a desired antigen for the presence of motifs. The epitopic sequences are then synthesized. The capacity to bind MHC Class molecules is measured in a variety of different ways. One means is a Class I molecule binding assay as described in Example 4, below. Other alternatives described in the literature include inhibition of antigen presentation (Sette, et al., J. Immunol. 141:3893 (1991), in vitro assembly assays (Townsend, et al., Cell 62:285 (1990), and FACS based assays using mutated ells, such as RMA.S (Melief, et al., Eur. J. Immunol. 21:2963 (1991)).

[0040] Next, peptides that test positive in the MHC class I binding assay are assayed for the ability of the peptides to induce specific CTL responses in vitro. For instance, Antigen-presenting cells that have been incubated with a peptide can be assayed for the ability to induce CTL responses in responder cell populations. Antigen-presenting cells can be normal cells such as peripheral blood mononuclear cells or dendritic cells (Inaba, et al., J. Exp. Med. 166:182 (1987); Boog, Eur. J. Immunol. 18:219 [1988]).

[0041] Alternatively, mutant mammalian cell lines that are deficient in their ability to load class I molecules with internally processed peptides, such as the mouse cell lines RMA-S (Kärre, et al. Nature, 319:675 (1986); Ljunggren, et al., Eur. J. Immunol. 21:2963-2970 (1991)), and the human somatic T cell hybrid, T-2 (Cerundolo, et al., Nature 345:449-452 (1990)) and which have been transfected with the appropriate human class I genes are conveniently used, when peptide is added to them, to test for the capacity of the peptide to induce in vitro primary CTL responses. Other eukaryotic cell lines which could be used include various insect cell lines such as mosquito larvae (ATCC cell lines CCL 125, 126, 1660, 1591, 6585, 6586), silkworm (ATTC CRL 8851), armyworm (ATCC CRL 1711), moth (ATCC CCL 80) and Drosophila cell lines such as a Schneider cell line (see Schneider J. Embryol. Exp. Morphol. 27:353-365 [1927]).

[0042] Peripheral blood lymphocytes are conveniently isolated following simple venipuncture or leukapheresis of normal donors or patients and used as the responder cell sources of CTL precursors. In one embodiment, the appropriate antigen-presenting cells are incubated with 10-100 μM of peptide in serum-free media for 4 hours under appropriate culture conditions. The peptide-loaded antigen-presenting cells are then incubated with the responder cell populations in vitro for 7 to 10 days under optimized culture conditions. Positive CTL activation can be determined by assaying the cultures for the presence of CTLs that kill radiolabeled target cells, both specific peptide-pulsed targets as well as target cells expressing endogenously processed form of the relevant virus or tumor antigen from which the peptide sequence was derived.

[0043] Specificity and MHC restriction of the CTL is determined by testing against different peptide target cells expressing appropriate or inappropriate human MHC class I. The peptides that test positive in the MHC binding assays and give rise to specific CTL responses are referred to herein as immunogenic peptides.

[0044] The immunogenic peptides can be prepared synthetically, or by recombinant DNA technology or from natural sources such as whole viruses or tumors. Although the peptide will preferably be substantially free of other naturally occurring host cell proteins and fragments thereof, in some embodiments the peptides can be synthetically conjugated to native fragments or particles.

[0045] The polypeptides or peptides can be a variety of lengths, either in their neutral (uncharged) forms or in forms which are salts, and either free of modifications such as glycosylation, side chain oxidation, or phosphorylation or containing these modifications, subject to the condition that the modification not destroy the biological activity of the polypeptides as herein described.

[0046] Desirably, the peptide will be as small as possible while still maintaining substantially all of the biological activity of the large peptide. When possible, it may be desirable to optimize peptides of the invention to a length of about 8 to about 10 amino acid residues, commensurate in size with endogenously processed viral peptides or tumor cell peptides that are bound to MHC class I molecules on the cell surface.

[0047] Peptides having the desired activity may be modified as necessary to provide certain desired attributes, e.g., improved pharmacological characteristics, while increasing or at least retaining substantially all of the biological activity of the unmodified peptide to bind the desired MHC molecule and activate the appropriate T cell. For instance, the peptides may be subject to various changes, such as substitutions, either conservative or non-conservative, where such changes might provide for certain advantages in their use, such as improved MHC binding. By conservative substitutions is meant replacing an amino acid residue with another which is biologically and/or chemically similar, e.g., one hydrophobic residue for another, or one polar residue for another. The substitutions include combinations such as Gly, Ala; Val, Ile, Leu, Met; Asp, Glu; Asn, Gln; Ser, Thr; Lys, Arg; and Phe, Tyr. The effect of single amino acid substitutions may also be probed using D-amino acids. Such modifications may be made using well known peptide synthesis procedures, as described in e.g., Merrifield, Science 232:341-347 (1986), Barany and Merrifield, The Peptides, Gross and Meienhofer, eds. (N.Y., Academic Press), pp. 1-284 (1979); and Stewart and Young, Solid Phase Peptide Synthesis, (Rockford, Ill., Pierce), 2d Ed. (1984), incorporated by reference herein.

[0048] The peptides can also be modified by extending or decreasing the compound's amino acid sequence, e.g., by the addition or deletion of amino acids. The peptides or analogs of the invention can also be modified by altering the order or composition of certain residues, it being readily appreciated that certain amino acid residues essential for biological activity, e.g., those at critical contact sites or conserved residues, may generally not be altered without an adverse effect on biological activity. The non-critical amino acids need not be limited to those naturally occurring in proteins, such as L-α-amino acids, or their D-isomers, but may include non-natural amino acids as well, such as β-γ-δ-amino acids, as well as many derivatives of L-α-amino acids.

[0049] Typically, a series of peptides with single amino acid substitutions are employed to determine the effect of electrostatic charge, hydrophobicity, etc. on binding. For instance, a series of positively charged (e.g., Lys or Arg) or negatively charged (e.g., Glu) amino acid substitutions are made along the length of the peptide revealing different patterns of sensitivity towards various MHC molecules and T cell receptors. In addition, multiple substitutions using small, relatively neutral moieties such as Ala, Gly, Pro, or similar residues may be employed. The substitutions may be homo-oligomers or hetero-oligomers. The number and types of residues which are substituted or added depend on the spacing necessary between essential contact points and certain functional attributes which are sought (e.g., hydrophobicity versus hydrophilicity). Increased binding affinity for an MHC molecule or T cell receptor may also be achieved by such substitutions, compared to the affinity of the parent peptide. In any event, such substitutions should employ amino acid residues or other molecular fragments chosen to avoid, for example, steric and charge interference which might disrupt binding.

[0050] Amino acid substitutions are typically of single residues. Substitutions, deletions, insertions or any combination thereof may be combined to arrive at a final peptide. Substitutional variants are those in which at least one residue of a peptide has been removed and a different residue inserted in its place. Such substitutions generally are made in accordance with the following Table 2 when it is desired to finely modulate the characteristics of the peptide.

TABLE 2
Original Residue Exemplary Substitution
Ala              Ser
Arg              Lys, His
Asn              Gln
Asp              Glu
Cys              Ser
Gln              Asn
Glu              Asp
Gly              Pro
His              Lys; Arg
Ile              Leu; Val
Leu              Ile; Val
Lys              Arg; His
Met              Leu; Ile
Phe              Tyr; Trp
Ser              Thr
Thr              Ser
Trp              Tyr; Phe
Tyr              Trp; Phe
Val              Ile; Leu

[0051] Substantial changes in function (e.g., affinity for MHC molecules or T cell receptors) are made by selecting substitutions that are less conservative than those in Table 2, i.e., selecting residues that differ more significantly in their effect on maintaining (a) the structure of the peptide backbone in the area of the substitution, for example as a sheet or helical conformation, (b) the charge or hydrophobicity of the molecule at the target site or (c) the bulk of the side chain. The substitutions which in general are expected to produce the greatest changes in peptide properties will be those in which (a) hydrophilic residue, e.g. seryl, is substituted for (or by) a hydrophobic residue, e.g. leucyl, isoleucyl, phenylalanyl, valyl or alanyl; (b) a residue having an electropositive side chain, e.g., lysl, arginyl, or histidyl, is substituted for (or by) an electronegative residue, e.g. glutamyl or aspartyl; or (c) a residue having a bulky side chain, e.g. phenylalanine, is substituted for (or by) one not having a side chain, e.g., glycine.

[0052] The peptides may also comprise isosteres of two or more residues in the immunogenic peptide. An isostere as defined here is a sequence of two or more residues that can be substituted for a second sequence because the steric conformation of the first sequence fits a binding site specific for the second sequence. The term specifically includes peptide backbone modifications well known to those skilled in the art. Such modifications include modifications of the amide nitrogen, the α-carbon, amide carbonyl, complete replacement of the amide bond, extensions, deletions or backbone crosslinks. See, generally, Spatola, Chemistry and Biochemistry of Amino Acids, peptides and Proteins, Vol. VII (Weinstein ed., 1983).

[0053] Modifications of peptides with various amino acid mimetics or unnatural amino acids are particularly useful in increasing the stability of the peptide in vivo. Stability can be assayed in a number of ways. For instance, peptidases and various biological media, such as human plasma and serum, have been used to test stability. See, e.g., Verhoef et al., Eur. J. Drug Metab. Pharmacokin. 11:291-302 (1986). Half life of the peptides of the present invention is conveniently determined using a 25% human serum (v/v) assay. The protocol is generally as follows. Pooled human serum (Type AB, non-heat inactivated) is delipidated by centrifugation before use. The serum is then diluted to 25% with RPMI tissue culture media and used to test peptide stability. At predetermined time intervals a small amount of reaction solution is removed and added to either 6% aqueous trichloracetic acid or ethanol. The cloudy reaction sample is cooled (4° C.) for 15 minutes and then spun to pellet the precipitated serum proteins. The presence of the peptides is then determined by reversed-phase HPLC using stability-specific chromatography conditions.

[0054] The peptides of the present invention or analogs thereof which have CTL stimulating activity may be modified to provide desired attributes other than improved serum half life. For instance, the ability of the peptides to induce CTL activity can be enhanced by linkage to a sequence which contains at least one epitope that is capable of inducing a T helper cell response.

[0055] In some embodiments, the T helper peptide is one that is recognized by T helper cells in the majority of the population. This can be accomplished by selecting amino acid sequences that bind to many, most, or all of the MHC class II molecules. These are known as “loosely MHC-restricted” T helper sequences. Examples of amino acid sequences that are loosely MHC-restricted include sequences from antigens such as Tetanus toxin at positions 830-843 (QYIKANSKFIGITE), Plasmodium falciparum CS protein at positions 378-398 (DIEKKIAKMEKASSVFNVVNS), and Streptococcus 18 kD protein at positions 1-16 (YGAVDSILGGVATYGAA).

[0056] Alternatively, it is possible to prepare synthetic peptides capable of stimulating T helper lymphocytes, in a loosely MHC-restricted fashion, using amino acid sequences not found in nature. These synthetic compounds called Pan-DR-binding epitope (PADRE) are designed on the basis of their binding activity to most, HLA-DR (human MHC class II) molecules (see, copending application U.S. Ser. No. 08/121,101).

[0057] Particularly preferred immunogenic peptides/T helper conjugates are linked by a spacer molecule. The spacer is typically comprised of relatively small, neutral molecules, such as amino acids or amino acid mimetics, which are substantially uncharged under physiological conditions. The spacers are typically selected from, e.g., Ala, Gly, or other neutral spacers of nonpolar amino acids or neutral polar amino acids. It will be understood that the optionally present spacer need not comprise the same residues and thus may be a hetero- or homo-oligomer. When present, the spacer will usually be at least one or two residues, more usually three to six residues. Alternatively, the CTL peptide may be linked to the T helper peptide without a spacer.

[0058] The immunogenic peptide may be linked to the T helper peptide either directly or via a spacer either at the amino or carboxy terminus of the CTL peptide. The amino terminus of either the immunogenic peptide or the T helper peptide may be acylated. Exemplary T helper peptides include tetanus toxoid 830-843, influenza 307-319, malaria circumsporozoite 0.382-398 and 378-389.

[0059] In some embodiments it may be desirable to include in the pharmaceutical compositions of the invention at least one component which primes CTL. Lipids have been identified as agents capable of priming CTL in vivo against viral antigens. For example, palmitic acid residues can be attached to the alpha and epsilon amino groups of a Lys residue and then linked, e.g., via one or more linking residues such as Gly, Gly-Gly-, Ser, Ser-Ser, or the like, to an immunogenic peptide. The lipidated peptide can then be injected directly in a micellar form, incorporated into a liposome or emulsified in an adjuvant, e.g., incomplete Freund's adjuvant. In a preferred embodiment a particularly effective immunogen comprises palmitic acid attached to alpha and epsilon amino groups of Lys, which is attached via linkage, e.g., Ser-Ser, to the amino terminus of the immunogenic peptide.

[0060] As another example of lipid priming of CTL responses, E. coli lipoproteins, such as tripalmitoyl-S-glycerylcysteinlyseryl-serine (P3CSS) can be used to prime virus specific CTL when covalently attached to an appropriate peptide. See, Deres et al., Nature 342:561-564 (1989), incorporated herein by reference. Peptides of the invention can be coupled to P3CSS, for example, and the lipopeptide administered to an individual to specifically prime a CTL response to the target antigen. Further, as the induction of neutralizing antibodies can also be primed with P3CSS conjugated to a peptide which displays an appropriate epitope, the two compositions can be combined to more effectively elicit both humoral and cell-mediated responses to infection.

[0061] In addition, additional amino acids can be added to the termini of a peptide to provide for ease of linking peptides one to another, for coupling to a carrier support, or larger peptide, for modifying the physical or chemical properties of the peptide or oligopeptide, or the like. Amino acids such as tyrosine, cysteine, lysine, glutamic or aspartic acid, or the like, can be introduced at the C- or N-terminus of the peptide or oligopeptide. Modification at the C terminus in some cases may alter binding characteristics of the peptide. In addition, the peptide or oligopeptide sequences can differ from the natural sequence by being modified by terminal-NH2 acylation, e.g., by alkanoyl (C1-C20) or thioglycolyl acetylation, terminal-carboxylamidation, e.g., ammonia, methylamine, etc. In some instances these modifications may provide sites for linking to a support or other molecule.

[0062] The peptides of the invention can be prepared in a wide variety of ways. Because of their relatively short size, the peptides can be synthesized in solution or on a solid support in accordance with conventional techniques. Various automatic synthesizers are commercially available and can be used in accordance with known protocols. See, for example, Stewart and Young, Solid Phase Peptide Synthesis, 2d. ed., Pierce Chemical Co. (1984), supra.

[0063] Alternatively, recombinant DNA technology may be employed wherein a nucleotide sequence which encodes an immunogenic peptide of interest is inserted into an expression vector, transformed or transfected into an appropriate host cell and cultivated under conditions suitable for expression. These procedures are generally known in the art, as described generally in Sambrook et al., Molecular Cloning. A Laboratory Manual, Cold Spring Harbor Press, Cold Spring Harbor, N.Y. (1982), which is incorporated herein by reference. Thus, fusion proteins which comprise one or more peptide sequences of the invention can be used to present the appropriate T cell epitope.

[0064] As the coding sequence for peptides of the length contemplated herein can be synthesized by chemical techniques, for example, the phosphotriester method of Matteucci et al., J. Am. Chem. Soc. 103:3185 (1981), modification can be made simply by substituting the appropriate base(s) for those encoding the native peptide sequence. The coding sequence can then be provided with appropriate linkers and ligated into expression vectors commonly available in the art, and the vectors used to transform suitable hosts to produce the desired fusion protein. A number of such vectors and suitable host systems are now available. For expression of the fusion proteins, the coding sequence will be provided with operably linked start and stop codons, promoter and terminator regions and usually a replication system to provide an expression vector for expression in the desired cellular host. For example, promoter sequences compatible with bacterial hosts are provided in plasmids containing convenient restriction sites for insertion of the desired coding sequence. The resulting expression vectors are transformed into suitable bacterial hosts. Of course, yeast or mammalian cell hosts may also be used, employing suitable vectors and control sequences.

[0065] The peptides of the present invention and pharmaceutical and vaccine compositions thereof are useful for administration to mammals, particularly humans, to treat and/or prevent viral infection and cancer. Examples of diseases which can be treated using the immunogenic peptides of the invention include prostate cancer, hepatitis B, hepatitis C, AIDS, renal carcinoma, cervical carcinoma, lymphoma, CMV and condlyloma acuminatum.

[0066] For pharmaceutical compositions, the immunogenic peptides of the invention are administered to an individual already suffering from cancer or infected with the virus of interest. Those in the incubation phase or the acute phase of infection can be treated with the immunogenic peptides separately or in conjunction with other treatments, as appropriate. In therapeutic applications, compositions are administered to a patient in an amount sufficient to elicit an effective CTL response to the virus or tumor antigen and to cure or at least partially arrest symptoms and/or complications. An amount adequate to accomplish this is defined as “therapeutically effective dose.” Amounts effective for this use will depend on, e.g., the peptide composition, the manner of administration, the stage and severity of the disease being treated, the weight and general state of health of the patient, and the judgment of the prescribing physician, but generally range for the initial immunization (that is for therapeutic or prophylactic administration) from about 1.0 μg to about 5000 μg of peptide for a 70 kg patient, followed by boosting dosages of from about 1.0 μg to about 1000 μg of peptide pursuant to a boosting regimen over weeks to months depending upon the patient's response and condition by measuring specific CTL activity in the patient's blood. It must be kept in mind that the peptides and compositions of the present invention may generally be employed in serious disease states, that is, life-threatening or potentially life threatening situations. In such cases, in view of the minimization of extraneous substances and the relative nontoxic nature of the peptides, it is possible and may be felt desirable by the treating physician to administer substantial excesses of these peptide compositions.

[0067] For therapeutic use, administration should begin at the first sign of viral infection or the detection or surgical removal of tumors or shortly after diagnosis in the case of acute infection. This is followed by boosting doses until at least symptoms are substantially abated and for a period thereafter. In chronic infection, loading doses followed by boosting doses may be required.

[0068] Treatment of an infected individual with the compositions of the invention may hasten resolution of the infection in acutely infected individuals. For those individuals susceptible (or predisposed) to developing chronic infection the compositions are particularly useful in methods for preventing the evolution from acute to chronic infection. Where the susceptible individuals are identified prior to or during infection, for instance, as described herein, the composition can be targeted to them, minimizing need for administration to a larger population.

[0069] The peptide compositions can also be used for the treatment of chronic infection and to stimulate the immune system to eliminate virus-infected cells in carriers. It is important to provide an amount of immuno-potentiating peptide in a formulation and mode of administration sufficient to effectively stimulate a cytotoxic T cell response. Thus, for treatment of chronic infection, a representative dose is in the range of about 1.0 μg to about 5000 μg, preferably about 5 μg to 1000 μg for a 70 kg patient per dose. Immunizing doses followed by boosting doses at established intervals, e.g., from one to four weeks, may be required, possibly for a prolonged period of time to effectively immunize an individual. In the case of chronic infection, administration should continue until at least clinical symptoms or laboratory tests indicate that the viral infection has been eliminated or substantially abated and for a period thereafter.

[0070] The pharmaceutical compositions for therapeutic treatment are intended for parenteral, topical, oral or local administration. Preferably, the pharmaceutical compositions are administered parenterally, e.g., intravenously, subcutaneously, intradermally, or intramuscularly. Thus, the invention provides compositions for parenteral administration which comprise a solution of the immunogenic peptides dissolved or suspended in an acceptable carrier, preferably an aqueous carrier. A variety of aqueous carriers may be used, e.g., water, buffered water, 0.8% saline, 0.3% glycine, hyaluronic acid and the like. These compositions may be sterilized by conventional, well known sterilization techniques, or may be sterile filtered. The resulting aqueous solutions may be packaged for use as is, or lyophilized, the lyophilized preparation being combined with a sterile solution prior to administration. The compositions may contain pharmaceutically acceptable auxiliary substances as required to approximate physiological conditions, such as pH adjusting and buffering agents, tonicity adjusting agents, wetting agents and the like, for example, sodium acetate, sodium lactate, sodium chloride, potassium chloride, calcium chloride, sorbitan monolaurate, triethanolamine oleate, etc.

[0071] The concentration of CTL stimulatory peptides of the invention in the pharmaceutical formulations can vary widely, i.e., from less than about 0.1%, usually at or at least about 2% to as much as 20% to 50% or more by weight, and will be selected primarily by fluid volumes, viscosities, etc., in accordance with the particular mode of administration selected.

[0072] The peptides of the invention may also be administered via liposomes, which serve to target the peptides to a particular tissue, such as lymphoid tissue, or targeted selectively to infected cells, as well as increase the half-life of the peptide composition. Liposomes include emulsions, foams, micelles, insoluble monolayers, liquid crystals, phospholipid dispersions, lamellar layers and the like. In these preparations the peptide to be delivered is incorporated as part of a liposome, alone or in conjunction with a molecule which binds to, e.g., a receptor prevalent among lymphoid cells, such as monoclonal antibodies which bind to the CD45 antigen, or with other therapeutic or immunogenic compositions. Thus, liposomes either filled or decorated with a desired peptide of the invention can be directed to the site of lymphoid cells, where the liposomes then deliver the selected therapeutic/immunogenic peptide compositions. Liposomes for use in the invention are formed from standard vesicle-forming lipids, which generally include neutral and negatively charged phospholipids and a sterol, such as cholesterol. The selection of lipids is generally guided by consideration of, e.g., liposome size, acid lability and stability of the liposomes in the blood stream. A variety of methods are available for preparing liposomes, as described in, e.g., Szoka et al., Ann. Rev. Biophys. Bioeng. 9:467 (1980), U.S. Pat. Nos. 4,235,871, 4,501,728, 4,837,028, and 5,019,369, incorporated herein by reference.

[0073] For targeting to the immune cells, a ligand to be incorporated into the liposome can include, e.g., antibodies or fragments thereof specific for cell surface determinants of the desired immune system cells. A liposome suspension containing a peptide may be administered intravenously, locally, topically, etc. in a dose which varies according to, inter alia, the manner of administration, the peptide being delivered, and the stage of the disease being treated.

[0074] For solid compositions, conventional nontoxic solid carriers may be used which include, for example, pharmaceutical grades of mannitol, lactose, starch, magnesium stearate, sodium saccharin, talcum, cellulose, glucose, sucrose, magnesium carbonate, and the like. For oral administration, a pharmaceutically acceptable nontoxic composition is formed by incorporating any of the normally employed excipients, such as those carriers previously listed, and generally 10-95% of active ingredient, that is, one or more peptides of the invention, and more preferably at a concentration of 25%-75%.

[0075] For aerosol administration, the immunogenic peptides are preferably supplied in finely divided form along with a surfactant and propellant. Typical percentages of peptides are 0.01-20% by weight, preferably 1%-10%. The surfactant must, of course, be nontoxic, and preferably soluble in the propellant. Representative of such agents are the esters or partial esters of fatty acids containing from 6 to 22 carbon atoms, such as caproic, octanoic, lauric, palmitic, stearic, linoleic, linolenic, olesteric and oleic acids with an aliphatic polyhydric alcohol or its cyclic anhydride. Mixed esters, such as mixed or natural glycerides may be employed. The surfactant may constitute 0.1%-20% by weight of the composition, preferably 0.25-5%. The balance of the composition is ordinarily propellant. A carrier can also be included, as desired, as with, e.g., lecithin for intranasal delivery.

[0076] In another aspect the present invention is directed to vaccines which contain as an active ingredient an immunogenically effective amount of an immunogenic peptide as described herein. The peptide(s) may be introduced into a host, including humans, linked to its own carrier or as a homopolymer or heteropolymer of active peptide units. Such a polymer has the advantage of increased immunological reaction and, where different peptides are used to make up the polymer, the additional ability to induce antibodies and/or CTLs that react with different antigenic determinants of the virus or tumor cells. Useful carriers are well known in the art, and include, e.g., thyroglobulin, albumins such as human serum albumin, tetanus toxoid, polyamino acids such as poly(lysine:glutamic acid), influenza, hepatitis B virus core protein, hepatitis B virus recombinant vaccine and the like. The vaccines can also contain a physiologically tolerable (acceptable) diluent such as water, phosphate buffered saline, or saline, and further typically include an adjuvant. Adjuvants such as incomplete Freund's adjuvant, aluminum phosphate, aluminum hydroxide, or alum are materials well known in the art. And, as mentioned above, CTL responses can be primed by conjugating peptides of the invention to lipids, such as P3CSS. Upon immunization with a peptide composition as described herein, via injection, aerosol, oral, transdermal or other route, the immune system of the host responds to the vaccine by producing large amounts of CTLs specific for the desired antigen, and the host becomes at least partially immune to later infection, or resistant to developing chronic infection.

[0077] Vaccine compositions containing the peptides of the invention are administered to a patient susceptible to or otherwise at risk of viral infection or cancer to elicit an immune response against the antigen and thus enhance the patient's own immune response capabilities. Such an amount is defined to be an “immunogenically effective dose.” In this use, the precise amounts again depend on the patient's state of health and weight, the mode of administration, the nature of the formulation, etc., but generally range from about 1.0 μg to about 5000 μg per 70 kilogram patient, more commonly from about 10 μg to about 500 μg mg per 70 kg of body weight.

[0078] In some instances it may be desirable to combine the peptide vaccines of the invention with vaccines which induce neutralizing antibody responses to the virus of interest, particularly to viral envelope antigens.

[0079] For therapeutic or immunization purposes, the peptides of the invention can also be expressed by attenuated viral hosts, such as vaccinia or fowlpox. This approach involves the use of vaccinia virus as a vector to express nucleotide sequences that encode the peptides of the invention. Upon introduction into an acutely or chronically infected host or into a non-infected host, the recombinant vaccinia virus expresses the immunogenic peptide, and thereby elicits a host CTL response. Vaccinia vectors and methods useful in immunization protocols are described in, e.g., U.S. Pat. No. 4,722,848, incorporated herein by reference. Another vector is BCG (Bacille Calmette Guerin). BCG vectors are described in Stover et al. (Nature 351:456-460 (1991)) which is incorporated herein by reference. A wide variety of other vectors useful for therapeutic administration or immunization of the peptides of the invention, e.g., Salmonella typhi vectors and the like, will be apparent to those skilled in the art from the description herein.

[0080] Antigenic peptides may be used to elicit CTL ex vivo, as well. The resulting CTL, can be used to treat chronic infections (viral or bacterial) or tumors in patients that do not respond to other conventional forms of therapy, or will not respond to a peptide vaccine approach of therapy. Ex vivo CTL responses to a particular pathogen (infectious agent or tumor antigen) are induced by incubating in tissue culture the patient's CTL precursor cells (CTLp) together with a source of antigen-presenting cells (APC) and the appropriate immunogenic peptide. After an appropriate incubation time (typically 1-4 weeks), in which the CTLp are activated and mature and expand into effector CTL, the cells are infused back into the patient, where they will destroy their specific target cell (an infected cell or a tumor cell).

[0081] The peptides may also find use as diagnostic reagents. For example, a peptide of the invention may be used to determine the susceptibility of a particular individual to a treatment regimen which employs the peptide or related peptides, and thus may be helpful in modifying an existing treatment protocol or in determining a prognosis for an affected individual. In addition, the peptides may also be used to predict which individuals will be at substantial risk for developing chronic infection.

[0082] The following examples are offered by way of illustration, not by way of limitation.

EXAMPLE 1

Class I Antigen Isolation

[0083] A flow diagram of an HLA-A antigen purification scheme is presented in FIG. 1. Briefly, the cells bearing the appropriate allele were grown in large batches (6-8 liters yielding ˜5×109 cells), harvested by centrifugation and washed. All cell lines were maintained in RPMI 1640 media (Sigma) supplemented with 10% fetal bovine serum (FBS) and antibiotics. For large-scale cultures, cells were grown in roller bottle culture in RPMI 1640 with 10% FBS or with 10% horse serum and antibiotics. Cells were harvested by centrifugation at 1500 RPM IEC-CRU5000 centrifuge with 259 rotor and washed three times with phosphate-buffered saline (PBS)(0.01 M PO4, 0.154 M NaCl, pH 7.2).

[0084] Cells were pelleted and stored at −70° C. or treated with detergent lysing solution to prepare detergent lysates. Cell lysates were prepared by the addition of stock detergent solution [1% NP-40 (Sigma) or Renex 30 (Accurate Chem. Sci. Corp., Westbury, N.Y. 11590), 150 mM NaCl, 50 mM Tris, pH 8.0] to the cell pellets (previously counted) at a ratio of 50-100×106 cells per ml detergent solution. A cocktail of protease inhibitors was added to the premeasured volume of stock detergent solution immediately prior to the addition to the cell pellet. Addition of the protease inhibitor cocktail produced final concentrations of the following: phenylmethylsulfonyl fluoride (PMSF), 2 mM; aprotinin, 5 μg/ml; leupeptin, 10 μg/ml; pepstatin, 10 μg/ml; iodoacetamide, 100 μM; and EDTA, 3 ng/ml. Cell lysis was allowed to proceed at 4° C. for 1 hour with periodic mixing. Routinely 5-10×109 cells were lysed in 50-100 ml of detergent solution. The lysate was clarified by centrifugation at 15,000×g for 30 minutes at 4° C. and subsequent passage of the supernatant fraction through a 0.2μ filter unit (Nalgene).

[0085] The HLA-A antigen purification was achieved using affinity columns prepared with mAb-conjugated Sepharose beads. For antibody production, cells were grown in RPMI with 10% FBS in large tissue culture flasks (Corning 25160-225). Antibodies were purified from clarified tissue culture medium by ammonium sulfate fractionation followed by affinity chromatography on protein-A-Sepharose (Sigma). Briefly, saturated ammonium sulfate was added slowly with stirring to the tissue culture supernatant to 45% (volume to volume) overnight at 4° C. to precipitate the immunoglobulins. The precipitated proteins were harvested by centrifugation at 10,000×g for 30 minutes. The precipitate was then dissolved in a minimum volume of PBS and transferred to dialysis tubing (Spectro/Por 2, Mol. wt. cutoff 12,000-14,000, Spectum Medical Ind.). Dialysis was against PBS (≧20 times the protein solution volume) with 4-6 changes of dialysis buffer over a 24-48 hour period at 4° C. The dialyzed protein solution was clarified by centrifugation (10,000×g for 30 minutes) and the pH of the solution adjusted to pH 8.0 with 1N NaOH. Protein-A-Sepharose (Sigma) was hydrated according to the manufacturer's instructions, and a protein-A-Sepharose column was prepared. A column of 10 ml bed volume typically binds 50-100 mg of mouse IgG.

[0086] The protein sample was loaded onto the protein-A-Sepharose column using a peristaltic pump for large loading volumes or by gravity for smaller volumes (<100 ml). The column was washed with several volumes of PBS, and the eluate was monitored at A280 in a spectrophotometer until base line was reached. The bound antibody was eluted using 0.1 M citric acid at suitable pH (adjusted to the appropriate pH with 1N NaOH). For mouse IgG-1 pH 6.5 was used for IgG2a pH 4.5 was used and for IgG2b and IgG3 pH 3.0 was used. 2 M Tris base was used to neutralize the eluate. Fractions containing the antibody (monitored by A280) were pooled, dialyzed against PBS and further concentrated using an Amicon Stirred Cell system (Amicon Model 8050 with YM30 membrane). The anti-A2 mAb, BB7.2, was useful for affinity purification.

[0087] The HLA-A antigen was purified using affinity columns prepared with mAb-conjugated Sepharose beads. The affinity columns were prepared by incubating protein-A-Sepharose beads (Sigma) with affinity-purified mAb as described above. Five to 10 mg of mAb per ml of bead is the preferred ratio. The mAb bound beads were washed with borate buffer (borate buffer: 100 mM sodium tetraborate, 154 mM NaCl, pH 8.2) until the washes show A280 at based line. Dimethyl pimelimidate (20 mM) in 200 mM triethanolamine was added to covalently crosslink the bound mAb to the protein-A-Sepharose (Schneider et al., J. Biol. Chem. 257:10766 (1982). After incubation for 45 minutes at room temperature on a rotator, the excess crosslinking reagent was removed by washing the beads twice with 10-20 ml of 20 mM ethanolamine, pH 8.2. Between each one the slurry was placed on a rotator for 5 minutes at room temperature. The beads were washed with borate buffer and with PBS plus 0.02% sodium azide.

[0088] The cell lysate (5-10×109 cell equivalents) was then slowly passed over a 5-10 ml affinity column (flow rate of 0.1-0.25 ml per minute) to allow the binding of the antigen to the immobilized antibody. After the lysate was allowed to pass through the column, the column was washed sequentially with 20 column volumes of detergent stock solution plus 0.1% sodium dodecyl sulfate, 20 column volumes of 0.5 M NaCl, 20 mM Tris, pH 8.0, and 10 column volumes of 20 mM Tris, pH 8.0. The HLA-A antigen bound to the mAb was eluated with a basic buffer solution (50 mM diethylamine in water). As an alternative, acid solutions such as 0.15-0.25 M acetic acid were also used to elute the bound antigen. An aliquot of the eluate ({fraction (1/50)}) was removed for protein quantification using either a colorimetric assay (BCA assay, Pierce) or by SDS-PAGE, or both. SDS-PAGE analysis was performed as described by Laemmli (Laemmli, U. K., Nature 227:680 (1970)) using known amounts of bovine serum albumin (Sigma) as a protein standard. Allele specific antibodies were used to purify the specific MHC molecule. In the case of HLA-A2, the mAb BB7.2 was used.

EXAMPLE 2

Isolation and Sequencing of Naturally Processed Peptides

[0089] For the HLA-A preparations derived from the base (50 mM diethylamine) elution protocol, the eluate was immediately neutralized with 1 N acetic acid to pH 7.0-7.5. The neutralized eluate was concentrated to a volume of 1-2 ml in an Amicon stirred cell [Model 8050, with YM3 membranes (Amicon)]. Ten ml of ammonium acetate (0.01 M, pH 8.0) was added to the concentrator to remove the non-volatile salts, and the sample was concentrated to approximately 1 ml. A small sample ({fraction (1/50)}) was removed for protein quantitation as described above. The remainder was recovered into a 15 ml polypropylene conical centrifuge tube (Falcon, 2097) (Becton Dickinson). Glacial acetic acid was added to obtain a final concentration of 10% acetic acid. The acidified sample was placed in a boiling water bath for 5 minutes to allow for the dissociation of the bound peptides. The sample was cooled on ice, returned to the concentrator and the filtrate was collected. Additional aliquots of 10% acetic acid (1-2 ml) were added to the concentrator, and this filtrate was pooled with the original filtrate. Finally, 1-2 ml of distilled water was added to the concentrator, and this filtrate was pooled as well.

[0090] The retentate contains the bulk of the HLA-A heavy chain and β2-microglobulin, while the filtrate contains the naturally processed bound peptides and other components with molecular weights less than about 3000. The pooled filtrate material was lyophilized in order to concentrate the peptide fraction. The sample was then ready for further analysis.

[0091] For HPLC (high performance liquid chromatography) separation of the peptide fractions, the lyophilized sample was dissolved in 50 μl of distilled water, or into 0.1% trifluoracetic acid (TFA) (Applied Biosystems) in water and injected to a C18 reverse-phase narrow bore column (Beckman C18 Ultrasphere, 10×250 mm), using a gradient system described by Stone and Williams (Stone, K. L. and Williams K. R., in, Macromolecular Sequencing and Synthesis; Selected Methods and Applications, A. R. Liss, New York, 1988, pp. 7-24. Buffer A was 0.06% TFA in water (Burdick-Jackson) and buffer B was 0.052% TFA in 80% acetonitrile (Burdick-Jackson). The flow rate was 0.250 ml/minute with the following gradient: 0-60 min., 2-37.5% B; 60-95 min., 37.5-75% B; 95-105 min., 75-98% B. The Gilson narrow bore HPLC configuration is particularly useful for this purpose, although other configurations work equally well.

[0092] A large number of peaks were detected by absorbance at 214 nm, many of which appear to be of low abundance. Whether a given peak represents a single peptide or a peptide mixture was not determined. Pooled fractions were then sequenced to determine motifs specific for each allele as described below.

[0093] Pooled peptide fractions, prepared as described above were analyzed by automated Edman sequencing using the Applied Biosystems Model 477A automated sequencer. The sequencing method is based on the technique developed by Pehr Edman in the 1950s for the sequential degradation of proteins and peptides to determine the sequence of the constituent amino acids.

[0094] The protein or peptide to be sequenced was held by a 12-mm diameter porous glass fiber filter disk in a heated, argon-purged reaction chamber. The filter was generally pre-treated with BioBrene Plus™ and then cycled through one or more repetitions of the Edman reaction to reduce contaminants and improve the efficiency of subsequent sample sequencing. Following the pre-treatment of the filter, a solution of the sample protein or peptide (10 pmol-5 nmol range) was loaded onto the glass filter and dried. Thus, the sample was left embedded in the film of the pre-treated disk. Covalent attachment of the sample to the filter was usually not necessary because the Edman chemistry utilized relatively apolar solvents, in which proteins and peptides are poorly soluble.

[0095] Briefly, the Edman degradation reaction has three steps: coupling, cleavage, and conversion. In coupling step, phenylisothiocyanate (PITC) is added. The PITC reacts quantitatively with the free amino-terminal amino acid of the protein to form the phenylthiocarbamyl-protein in a basic environment. After a period of time for the coupling step, the excess chemicals are extracted and the highly volatile organic acid, trifluoroacetic acid, TFA, is used to cleave the PITC-coupled amino acid residue from the amino terminus of the protein yielding the anilinothiazolinone (ATZ) derivative of the amino acid. The remaining protein/peptide is left with a new amino terminus and is ready for the next Edman cycle. The ATZ amino acid is extracted and transferred to a conversion flask, where upon addition of 25% TFA in water, the ATZ amino acid is converted to the more stable phenylthiohydantoin (PTH) amino acid that can be identified and quantified following automatic injection into the Model 120 PTH Analyzer which uses a microbore C-18 reverse-phase HPLC column for the analysis.

[0096] In the present procedures, peptide mixtures were loaded onto the glass filters. Thus, a single amino acid sequence usually does not result. Rather, mixtures of amino acids in different yield are found. When the particular residue is conserved among the peptides being sequenced, increased yield for that amino acid is observed.

EXAMPLE 3

Definition of an A2.1 Specific Motif

[0097] In one case, pooled peptide fractions prepared as described in Example 2 above were obtained from HLA-A2.1 homozygous cell lines, for example, JY. The pooled fractions were HPLC fractions corresponding to 7% to 45% CH3CN. For this class I molecule, this region of the chromatogram was most abundant in peptides. Data from independent experiments were averaged as described below.

[0098] The amino acid sequence analyses from four independent experiments were analyzed and the results are shown in Table 3. For each position except the first, the data were analyzed by modifying the method described by Falk et al., supra, to allow for comparison of experiments from different HLA types. This modified procedure yielded quantitative yet standardized values while allowing the averaging of data from different experiments involving the same HLA type.

[0099] The raw sequenator data was converted to a simple matrix of 10 rows (each representing one Edman degradation cycle) and 16 columns (each representing one of the twenty amino acids; W, C, R and H were eliminated for technical reasons. The data corresponding to the first row (first cycle) was not considered further because, this cycle is usually heavily contaminated by free amino acids.). The values of each row were summed to yield a total pmoles value for that particular cycle. For each row, values for each amino acid were then divided by the corresponding total yield value, to determine what fraction of the total signal is attributable to each amino acid at each cycle. By doing so, an “Absolute Frequency” table was generated. This absolute frequency table allows correction for the declining yields of each cycle.

TABLE 3
A2.1:POOL SEQUENCING FREQUENCY
	pos. 1	pos. 2	pos. 3	pos. 4	pos. 5	pos. 6	pos. 7	pos. 8	pos. 9	pos. 10
A	—	0.65	1.25	0.85	0.95	0.77	1.21	1.16	1.15	1.25
G	—	0.84	0.96	1.29	1.22	0.89	0.78	1.05	0.98	1.48
D	—	0.84	1.11	1	1.03	0.83	0.82	0.84	0.82	1.19
E	—	0.38	0.59	2	1.10	0.82	1.05	1.45	0.87	0.88
R	—	—	—	—	—	—	—	—	—	—
H	—	—	—	—	—	—	—	—	—	—
K	—	0.63	0.65	0.89	3	1.09	0.89	1.35	0.82	0.87
L	—	4	1.11	0.45	0.57	1.00	0.69	0.59	0.92	0.77
V	—	0.78	0.69	0.60	0.79	1.38	1.24	0.84	5	1.27
I	—	1.06	1.20	0.53	0.93	1.49	1.15	0.76	0.88	0.54
M	—	6	7	0.62	0.71	0.68	0.88	0.43	0.73	0.22
Y	—	0.28	1.41	0.65	1.32	0.78	1.34	1.21	1.00	0.79
F	—	0.76	1.46	0.69	1.16	1.00	1.07	1.09	0.78	0.73
W	—	—	—	—	—	—	—	—	—	—
Q	—	0.60	0.84	0.92	0.95	0.90	1.16	8	1.00	1.00
N	—	0.39	0.76	1.17	1.28	1.08	1.07	1.28	0.96	0.42
S	—	1.13	9	1.33	0.87	0.77	0.71	0.92	0.77	0.58
T	—	0.62	0.90	0.94	0.95	1.21	1.07	10	0.71	0.57
C	—	—	—	—	—	—	—	—	—	—
P	—	0.54	0.78	1.44	1.15	1.09	1.30	0.87	0.81	1.01
*11

[0100] Starting from the absolute frequency table, a “relative frequency” table was then generated to allow comparisons among different amino acids. To do so the data from each column was summed, and then averaged. Then, each value was divided next by the average column value to obtain relative frequency values. These values quantitate, in a standardized manner, increases and decreases per cycle, for each of the different sixteen amino acid types. Tables generated from data from different experiments can thus be added together to generate average relative frequency values (and their standard deviations). All standard deviations can then be averaged, to estimate a standard deviation value applicable to the samples from each table. Any particular value exceeding 1.00 by more than two standard deviations is considered to correspond to a significant increase.

EXAMPLE 4

Quantitative Binding Assays

[0101] Using isolated MHC molecules prepared as described in Example 2, above, quantitative binding assays were performed. Briefly, indicated amounts of MHC as isolated above were incubated in 0.05% NP40—PBS with ˜5 nM of radiolabeled peptides in the presence of 1-3 μM β2M and a cocktail of protease inhibitors (final concentrations 1 mM PMSF, 1.3 mM 1.10 Phenanthroline, 73 μM Pepstatin A, 8 mM EDTA, 200 μM N-α-p-tosyl-L-Lysine Chloromethyl ketone). After various times, free and bound peptides were separated by TSK 2000 gel filtration, as described previously in A. Sette et al., J. Immunol. 148:844 (1992), which is incorporated herein by reference. Peptides were labeled by the use of the Chloramine T method Buus et al., Science 235:1352 (1987), which is incorporated herein by reference.

[0102] The HBc 18-27 peptide HLA binding peptide was radiolabeled and offered (5-10 nM) to 1 μM purified HLA A2.1. After two days at 23° C. in presence of a cocktail of protease inhibitors and 1-3 μM purified human β2M, the percent of MHC class I bound radioactivity was measured by size exclusion chromatography, as previously described for class II peptide binding assays in Sette et al., in Seminars in Immunology, Vol. 3, Gefter, ed. (W. B. Saunders, Philadelphia, 1991), pp 195-202, which is incorporated herein by reference. Using this protocol, high binding (95%) was detected in all cases in the presence of purified HLA A2.1 molecules.

[0103] To explore the specificity of binding, we determined whether the binding was inhibitable by excess unlabeled peptide, and if so, what the 50% inhibitory concentration (IC50%) might be. The rationale for this experiment was threefold. First, such an experiment is crucial in order to demonstrate specificity. Second, a sensitive inhibition assay is the most viable alternative for a high throughput quantitative binding assay. Third, inhibition data subjected to Scatchard analysis can give quantitative estimates of the equilibrium constant (K) of interaction and the fraction of receptor molecules capable of binding ligand (% occupancy). For instance, in analysis of an inhibition curve for the interaction of the peptide HBc 18-27 with A2.1, the IC50% was determined to be 25 nM. Further experiments were conducted to obtain Scatchard plots. For HBc 18-27/A2.1, six different experiments using six independent MHC preparations yielded a KD of 15.5±9.9×10−9 M and occupancy values of 6.2% (1.4).

[0104] Several reports have demonstrated that class I molecules, unlike class II, are highly selective with regard to the size of the peptide epitope that they recognize. The optimal size varies between 8 and 10 residues for different peptides and different class I molecules, although MHC binding peptides as long as 13 residues have been identified. To verify the stringent size requirement, a series of N- and C-terminal truncation/extension analogs of the peptide HBc 18-27 were synthesized and tested for A2.1 binding. Previous studies had demonstrated that the optimal size for CTL recognition of this peptide was the 10-mer HBc18-27 (Sette et al. supra). It was found that removal or addition of a residue at the C terminus of the molecule resulted in a 30 to 100-fold decrease in binding capacity. Further removal or addition of another residue completely obliterated binding. Similarly, at the N-terminus of the molecule, removal or deletion of one residue from the optimal HBc 18-27 peptide completely abrogated A2.1 binding.

[0105] Throughout this disclosure, results have been expressed in terms of IC50's. Given the conditions in which our assays are run (i.e., limiting MHC and labeled peptide concentrations), these values approximate KD values. It should be noted that IC50 values can change, often dramatically, if the assay conditions are varied, and depending on the particular reagents used (e.g., Class I preparation, etc.). For example, excessive concentrations of MHC will increase the apparent measured IC50 of a given ligand.

[0106] An alternative way of expressing the binding data, to avoid these uncertainties, is as a relative value to a reference peptide. The reference peptide is included in every assay. As a particular assay becomes more, or less, sensitive, the IC50's of the peptides tested may change somewhat. However, the binding relative to the reference peptide will not change. For example, in an assay run under conditions such that the IC50 of the reference peptide increases 10-fold, all IC50 values will also shift approximately ten-fold. Therefore, to avoid ambiguities, the assessment of whether a peptide is a good, intermediate, weak, or negative binder should be based on it's IC50, relative to the IC50 of the standard peptide.

[0107] The reference peptide for the HLA-A2.1 assays described herein is referred to as 941.01 having a sequence of FLPSDYFPSV. An average IC50 of 5 (nM) was observed under the assay conditions utilized.

[0108] If the IC50 of the standard peptide measured in a particular assay is different from that reported in the table, then it should be understood that the threshold values used to determine good, intermediate, weak, and negative binders should be modified by a corresponding factor. For example, if in an A2.1 binding assay, the IC50 of the A2.1 standard (941.01) were to be measured as 8 nM instead of 5 nM, then a peptide ligand would be called a good binder only if it had an IC50 of less than 80 nM (i.e., 8 nM×0.1), instead of the usual cut-off value of 50 nM.

EXAMPLE 5

HLA-A2.1 Binding Motif and Algorithm

[0109] The structural requirements for peptide binding to A2.1 have been defined for both, 9-mer and 10-mer peptides. Two approaches have been used. The first approach referred to as the “poly-A approach” uses a panel of single amino acid substitutions of a 9-mer prototype poly-A binder (ALAKAAAAV) that is tested for A2.1 binding using the methods of Example 4 above to examine the degree of degeneracy of the anchor-positions and the possible influence of non-anchor positions on A2.1 binding.

[0110] The second approach, the “Motif-Library approach”, uses a large library of peptides selected from sequences of potential target molecules of viral and tumor origin and tested for A2.1 binding using the methods in Example 4 above. The frequencies by which different amino-acids occured at each position in good binders and non-binders were analysed to further define the role of non-anchor positions in 9-mers and 10-mers.

[0111] A2.1 binding of Peptide 9-mers

[0112] Poly A Approach A poly-A 9-mer peptide, containing the A2.1 motif L (Leu) in position 2 and V (Val) in position 9 was chosen as a prototype binder. A K (Lys) residue was included in position 4 to increase solubility. A panel of 91 single amino-acid substitution analogues of the prototype parental 9-mer was synthesized and tested for A2.1 binding (Table 4). Shaded areas mark analogs with a greater than 10-fold reduction in binding capacity relative to the parental peptide. A reduction in binding greater than 100-fold is indicated by hyphenation.

[0113] Anchor-Positions 2 and 9 in poly-A Analogs The effect of single-amino-acid substitutions at the anchor positions 2 and 9 was examined first. Most substitutions in these positions had profound detrimental effects on binding capacity, thus confirming their role for binding. More specifically, in position 2 only L and M bound within a 10-fold range (“preferred residues”). Residues with similar characteristics, such as I, V, A, and T were tolerated, but bound 10 to 100-fold less strongly than the parental peptide. All the remaining substitutions (residues S, N, D, F, C, K, G, and P) were not tolerated and decreased binding by more than 100-fold. Comparably stringent requirements were observed for position 9, where V, L and I were preferred and A and M are tolerated, while the residues T, C, N, F, and Y virtually abolished binding. According to this set of peptides, an optimal 2-9 motif could be defined with L, M in position 2 and V, I, or L in position 9.

TABLE 4
A2.1:BINDING OF ANALOGS OF A MOTIF-CONTAINING POLY A PEPTIDE
	pos. 1	pos. 2	pos. 3	pos. 4	pos. 5	pos. 6	pos. 7	pos. 8	pos. 9
	A	L	A	K	A	A	A	A	V
A	1.00	12	1.00		1.00	1.00	1.00	1.00	13
G	0.46	14			0.63	0.12		0.57
D	15	16	0.93	0.74	0.51	17
E	18		0.68	1.53	0.62	0.15	0.28	0.26
R						19
H								0.24
K	0.54	20	21	1.00	0.39		0.50	0.11
L		1.00	0.46		0.99		0.76	0.90	0.11
V	0.47	22	0.15	1.12		0.44	0.49	0.30	1.00
I	0.41	23				1.12			0.18
M		0.43	0.66						24
Y	0.75		0.62		0.94	0.41	1.40	0.43 25
F	1.10	26	0.95			1.76		0.49	27
W
Q					0.32		0.19	0.41
N		28	0.34		1.24		0.97	0.31 29
S	0.44	30	0.37	0.97
T	0.26	31		0.98			0.28	0.37	32
C		—		1.53		0.84			33
P	34	35	0.25	1.07		0.84	0.63	0.55
*36
Ratio ≦ 0.1
Ratio ≦ 0.01

[0114] Non-Anchor Positions 1 and 3-8 in poly-A Analogs All non-anchor positions were more permissive to different substitutions than the anchor-positions 2 and 9, i.e most residues were tolerated. Significant decreases in binding were observed for some substitutions in distinct positions. More specifically, in position 1 a negative charge (residues D and E) or a P greatly reduced the binding capacity. Most substitutions were tolerated in position 3 with the exception of the residue K. Significant decreases were also seen in position 6 upon introduction of either a negative charge (D, E) or a positively charged residue (R). A summary of these effects by different single amino acid substitutions is given in Table 5.

TABLE 5
Summary A2.1 Poly-A
AA
Position	(+)	(+/−)	(−)
1	FAYKVGSIT		EDP
2	LM	VITA	SNDFCKGP
3	AFDEMYLSNPV	K
4	CEVPATSD
5	NALYGEDKQ
6	FIAPCVYEG	DR
7	YANLPVETQ
8	ALGPFYQTNVEHK
9	VIL	AM	TCNFY
	Ratio > 0.1	Ratio 0.01-0.1	Ratio < 0.1

[0115] The Motif-Library Approach To further evaluate the importance of non-anchor positions for binding, peptides of potential target molecules of viral and tumor origin were scanned for the presence of sequences containing optimal 2-9 anchor motifs. A set of 161 peptides containing a L or M in position 2 and a V, L or I in position 9 was selected, synthesized and tested for binding (see Example 6). Only 11.8% of these peptides bind with high affinity (ratio ≧0.10; 22.4% were intermediate binders (ratio ≧0.1). As many as 36% were weak binders (ratio <0.01-0.0001), and 31% were non-binders (ratio<0.0001). The high number of non-binders containing optimal anchor-motifs indicates that in this set of peptides positions other than the 2-9 anchors influence A2.1 binding capacity. Appendix 1 sets forth all of the peptides having the 2-9 motif used for this analysis and the binding data for those peptides.

[0116] To define the influence on non-anchor positions more specifically, the frequency of occurrence of each amino acid in each of the non-anchor positions was calculated for the good and intermediate binders on one hand and non-binders on the other hand. Amino acids of similar chemical characteristic were grouped together. Weak binders were not considered for the following analysis. The frequency of occurence of each amino acid in each of the non-anchor positions was calculated for the good binders and non-binders (Table 6).

[0117] Several striking trends become apparent. For example in position 1, only 3.6% of the A2.1 binders and as much as 35% of the non-binders carried a negative charge (residues D and E). This observation correlates well with previous findings in the set of poly-A analogs, where a D or E substitution greatly affected binding. Similarly, the residue P was 8 times more frequent in non-binders than in good binders. Conversely, the frequencies of aromatic residues (Y, F, W) were greatly increased in A2.1 binders as compared to non-binders.

TABLE 6
A.2.1 9-mer PEPTIDES
	NUMBER OF PEPTIDES	161
	GOOD BINDERS	19	11.8%
	INTERMEDIATE BINDERS	36	22.4%
	WEAK BINDERS	58	36.0%
	NON-BINDERS	48	29.8%
	1+	1−	2+	2−	3+	3−	4+	4−	5+	5−	6+	6−	7+	7−	8+	8−	9+	9−
A	5.5	2.1	0.0	0.0	3.6	4.2	5.6	8.3	5.5	8.3	5.5	6.3	9.1	2.1	3.6	12.5	0.0	0.0
G	7.3	2.1	0.0	0.0	3.6	8.3	9.1	8.3	9.1	8.3	10.9	8.3	5.5	12.5	3.6	8.3	0.0	0.0
D, E	3.6	35.4	0.0	0.0	0.0	12.5	10.9	16.7	3.6	12.5	5.5	8.3	1.8	16.7	9.1	10.4	0.0	0.0
R, H, K	12.7	4.2	0.0	0.0	3.6	16.7	16.4	16.7	9.1	10.4	1.8	20.8	0.0	10.4	16.4	12.5	0.0	0.0
L, V, I	38.2	12.5	100.0	100.0	34.5	18.8	9.1	16.7	25.5	29.2	30.9	22.9	30.9	25.0	32.7	18.8	100.0	100.0
M
Y, F, W	14.5	2.1	0.0	0.0	21.8	4.2	7.3	8.3	18.2	2.1	16.4	8.3	14.5	8.3	5.5	8.3	0.0	0.0
Q, N	7.3	14.8	0.0	0.0	5.5	14.6	12.7	10.4	9.1	10.4	10.9	10.4	5.5	8.3	5.5	16.7	0.0	0.0
S, T, C	9.1	12.5	0.0	0.0	20.0	10.4	20.0	4.2	14.5	16.7	14.5	12.5	14.5	12.5	20.0	18.8	0.0	0.0
P	1.8	14.6	0.0	0.0	7.3	10.4	9.1	12.5	5.5	2.1	3.6	2.1	18.2	6.3	3.6	0.0	0.0	0.0
	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0

[0118] Following this approach, amino acids of similar structural characteristics were grouped together. Then, the frequency of each amino acid group in each position was calculated for binders versus non-binders (Table 7). Finally, the frequency in the binders group was divided by the frequency in the non-binders to obtain a “frequency ratio”. This ratio indicates whether a given amino-acid or group of residues occurs in a given position preferentially in good binders (ratio >1) or in non-binders (ratio <1).

TABLE 7
A2.1 9-mer PEPTIDES
	NUMBER OF PEPTICES	161
	GOOD BINDERS	19	11.8%
	INTERMEDIATE BINDERS	36	22.4%
	WEAK BINDERS	58	36.0%
	NON-BINDERS	48	29.8%
	pos. 1	pos. 2	pos. 3	pos. 4	pos. 5	pos. 6	pos. 7	pos. 8	pos. 9
	ratio	ratio	ratio	ratio	ratio	ratio	ratio	ratio	ratio
A	2.6	NA	0.9	0.9	0.7	0.9	4.4	0.3	NA
G	3.5	NA	0.4	1.1	1.1	1.3	0.4	0.4	NA
D, E	0.1	NA	0.0	0.7	0.3	0.7	0.1	0.9	NA
R, H, K	3.1	NA	0.2	1.0	0.9	0.1	0.0	1.3	NA
L, V, I, M	3.1	1.0	1.8	0.5	0.9	1.3	1.2	1.7	1.0
Y, F, W	7.0	NA	5.2	0.9	8.7	2.0	2.3	2.6	NA
Q, N	0.5	NA	0.4	1.2	0.9	1.0	0.7	0.3	NA
S, T, C	0.7	NA	1.9	4.8	0.9	1.2	1.2	1.1	NA
P	0.1	NA	0.7	0.7	2.6	1.7	2.9	+++	NA
+++ indicates that there were no negative binders

[0119] Different Residues Influence A2.1 Binding In order to analyse the most striking influences of certain residues on A2.1 binding, a threshold level was set for the ratios described in Table 7. Residues showing a more than 4-fold greater frequency in good binders were regarded as preferred residues (+). Residues showing a 4-fold lower frequency in A2.1 binders than in non-binders were regarded as disfavored residues (−). Following this approach, residues showing the most prominent positive or negative effects on binding are listed in Table 8.

[0120] This table identifies the amino acid groups which influence binding most significantly in each of the non-anchor positions. In general, the most negative effects were observed with charged amino acids. In position 1, negatively, charged amino acids were not observed in good binders, i.e., those amino acids were negative binding residues at position 1. The opposite was true for position 6 where only basic amino acids were detrimental for binding i.e., were negative binding residues. Moreover, both acidic and basic amino acids were not observed in A2.1 binders in positions 3 and 7. A greater than 4-fold increased frequency of non-binders was found when P was in position 1.

TABLE 8
Summary of A2.1 Motif-Library, 9-mers
AA Position	(+)	(−)
1	(YFW)	P, (DE)
2	Anchor
3	(YFW)	(DE), (RKH)
4	(STC)
5	(YFW)
6		(RKH)
7	A	(RKH), (DE)
8
9	Anchor
(+) = Ratio ≧ 4-fold
(−) = Ratio ≦ 0.25

[0121] Aromatic residues were in general favored in several of the non-anchor positions, particularly in positions 1, 3, and 5. Small residues like S, T, and C were favored in position 4 and A was favored in position 7.

[0122] An Improved A2.1 9-mer Motif The data described above was used to derive a stringent A2.1 motif. This motif is based in significant part on the effects of the non-anchor positions 1 and 3-8. The uneven distribution of amino acids at different positions is reflective of specific dominant negative binding effects of certain residues, mainly charged ones, on binding affinity. A series of rules were derived to identify appropriate anchor residues in positions 2 and 9 and negative binding residues at positions 1 and 3-8 to enable selection of a high affinity binding immunogenic peptide. These rules are summarized in Table 9.

[0123] To validate the motif defined above and shown in Table 9 published sequences of peptides that have been naturally processed and presented by A2.1 molecules were analysed (Table 10). Only 9-mer peptides containing the 2-9 anchor residues were considered.

[0124] When the frequencies of these peptides were analysed, it was found that in general they followed the rules summarized in Table 9. More specifically, neither acidic amino acids nor P were found in position 1. Only one acidic amino acid and no basic amino acids were found in position 3. Positions 6 and 7 showed no charged residues. Acidic amino acids, however, were frequently found in position 8, where they are tolerated, according to our definition of the A2.1 motif. The analysis of the sequences of naturally processed peptides therefore reveals that >90% of the peptides followed the defined rules for a complete motif.

[0125] Thus the data confirms a role of positions other than the anchor positions 2 and 9 for A2.1 binding. Most of the deleterious effects on binding are induced by charged amino acids in non-anchor positions, i.e. negative binding residues occupying positions 1, 3, 6 or 7.

TABLE 9
A2.1 MOTIF FOR 9-MER PEPTIDES
AA Position	(+)	(−)
37		38
39	40
41		42
4
5
43		44
45		46
8
47	48

[0126]

TABLE 10
A2.1 Naturally Processed Peptides
									A2.1
1	2	3	4	5	6	7	8	9	binding
A	L	X	G	G	X	V	N	V	ND
L	L	D	V	P	T	A	A	V	ND
G	X	V	P	F	X	V	S	V	0.41
S	L	L	P	A	I	V	E	L	0.19
S	X	X	V	R	A	X	E	V	ND
Y	M	N	G	T	M	S	Q	V	ND
K	X	N	E	P	V	X	X	X	ND
Y	L	L	P	A	I	V	H	I	0.26
A	X	W	G	F	F	P	V	X	ND
T	L	W	V	D	P	Y	E	V	0.23
G	X	V	P	F	X	V	S	V	0.41

[0127] A2.1 Binding of Peptide 10-mers

[0128] The “Motif-Library” Approach Previous data clearly indicated that 10-mers can also bind to HLA molecules even if with a somewhat lower affinity than 9-mers. For this reason we expanded our analysis to 10-mer peptides.

[0129] Therefore, a “Motif-Library” set of 170 peptide 10-mers containing optimal motif-combinations was selected from known target molecule sequences of viral and tumor origin and analysed as described above for 9-mers. In this set we found 5.9% good binders, 17.1% intermediate binders, 41.2% weak binders and 35.9% non-binders. The actual sequences, origin and binding capacities of this set of peptides are included as Appendix 2. This set of 10-mers was used to determine a) the rules for 10-mer peptide binding to A2.1, b) the similarities or differences to rules defined for 9-mers, and c) if an insertion point can be identified that would allow for a superimposable common motif for 9-mers and 10-mers.

[0130] Amino-acid frequencies and frequency ratios for the various amino-acid groups for each position were generated for 10-mer peptides as described above for 9-mer peptides and are also shown in Tables 11 and 12, respectively for grouped residues.

[0131] A summary of preferred versus disfavored residues and of the rules derived for the 10-mers in a manner analogous to that used for 9-mers, is also listed in Tables 13 and 14, respectively.

[0132] When the frequency-ratios of different amino-acid groups in binders and non-binders at different positions were analysed and compared to the corresponding ratios for the 9-mers, both striking similarities and significant differences emerged (Table 15). At the N-terminus and the C-termini of 9-mers and 10-mers, similarities predominate. In position 1 for example, in 10-mers again the P residue and acidic amino acids were not tolerated. In addition at position 1 in 10-mers aromatic residues were frequently observed in A2.1 binders. In position 3, acidic amino acids were frequently associated with poor binding capacity in both 9-mers and 10-mers. Interestingly, however, while in position 3 aromatic residues

TABLE 11
A2.1 10-mer PEPTIDES
	NUMBER OF PEPTIDES	170
	GOOD BINDERS	10	5.9%
	INTERMEDIATE BINDERS	29	17.1%
	WEAK BINDERS	70	41.2%
	NON-BINDERS	61	35.9%
	1+	1−	2+	2−	3+	3−	4+	4−	5+	5−	6+	6−	7+	7−	8+	8−	9+	9−	10+	10−
A	2.6	0.0	0.0	0.0	10.3	3.3	2.6	11.5	5.1	3.3	7.7	13.1	10.3	8.2	7.7	4.9	2.6	4.9	0.0	0.0
G	7.7	9.8	0.0	0.0	7.7	16.4	15.4	3.3	5.1	6.6	10.3	1.6	17.9	6.6	7.7	11.5	7.7	9.8	0.0	0.0
D, E	0.0	23.0	0.0	0.0	2.6	16.4	7.7	13.1	2.6	9.8	10.3	9.6	5.1	15.4	0.0	16.4	5.1	13.1	0.0	0.0
R, H,	7.7	6.6	0.0	0.0	5.1	16.4	2.8	16.0	10.3	14.8	7.7	19.7	2.6	14.8	0.0	29.5	2.6	16.4	0.0	0.0
K
L, V,	48.7	16.4	100.0	100.0	33.3	3.3	23.1	23.0	30.8	24.6	30.8	14.5	25.5	18.0	23.1	4.9	12.8	16.4	100.0	100.0
I, M
Y, F,	12.8	0.0	0.0	0.0	12.6	4.9	15.4	4.9	17.9	4.9	7.7	13.1	12.8	6.2	23.1	1.6	20.5	9.6	0.0	0.0
W
Q, N	10.3	9.6	0.0	0.0	7.7	8.2	7.7	9.8	7.7	9.8	2.6	3.3	5.1	8.2	2.6	6.6	7.7	11.5	0.0	0.0
S, T,	10.3	11.5	0.0	0.0	15.4	18.0	12.6	11.5	20.5	19.7	17.9	19.7	17.9	13.1	20.5	16.4	33.3	11.5	0.0	0.0
C
P	0.0	23.0	0.0	0.0	5.1	13.1	12.6	4.9	0.0	6.6	5.1	4.9	2.6	5.6	15.4	8.2	7.7	6.6	0.0	0.0
	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0

[0133]

TABLE 12
A2.1 10-mer PEPTIDES
	NUMBER OF PEPTIDES	170
	GOOD BINDERS	10	5.9%
	INTERMEDIATE BINDERS	29	17.1%
	WEAK BINDERS	70	41.2%
	NON-BINDERS	61	35.9%
	pos. 1	pos. 2	pos. 3	pos. 4	pos. 5	pos. 6	pos.7	pos. 8	pos. 9	pos. 10
	ratio	ratio	ratio	ratio	ratio	ratio	ratio	ratio	ratio	ratio
A	+++	NA	3.1	0.2	1.8	0.6	1.3	1.6	0.5	NA
G	0.8	NA	0.5	4.7	0.8	6.3	2.7	0.7	0.8	NA
D, E	0.0	NA	0.2	0.6	0.3	1.0	0.3	0.0	0.4	NA
R, H, K	1.2	NA	0.3	0.1	0.7	0.4	0.2	0.0	0.2	NA
L, V, I, M	3.0	1.0	10.2	1.0	1.3	2.1	1.4	4.7	0.8	1.0
Y, F, W	+++	NA	2.6	3.1	3.6	0.6	1.6	14.1	2.1	NA
Q, N	1.0	NA	0.9	0.8	0.8	0.8	0.6	0.4	0.7	NA
S, T, C	0.9	NA	0.9	1.1	1.0	0.9	1.4	1.3	2.9	NA
P	0.0	NA	0.4	2.6	0.0	1.0	0.4	1.9	1.2	NA
+++ Indicates that there were no negative binders

[0134]

TABLE 13
SUMMARY OF A2.1 MOTIF-LIBRARY 10-mers
AA Position	(+)	(−)
1	(YFW), A	(DE), P
2	Anchor
3	(LVIM)	(DE)
4	G	A, (RKH)
5		P
6	G
7		(RKH)
8	(YFW), (LVIM)	(DE), (RKH)
9		(RKH)
10	Anchor
(+) = Ratio ≧ 4-fold
(−) = Ratio ≦ 0.25

[0135]

TABLE 14
A2.1 MOTIF FOR 10-MER PEPTIDES
AA
Position	(+)	(−)
49		50
51	52
53		54
55		56
57		58
6
59		60
61		62
63		64
65	66

[0136]

TABLE 15
COMPARISON OF A2.1 BINDING OF 9-MERS AND 10-MERS
	9-mers	10-mers
AA Position	(+)	(+)
1	67	68
2	69	70
3	(YWF)	(LVIM)
4	(STC)	G
5	(YWF)
6		G
7	71
8		72
9	73
10	—	74
	9-mers	10-mers
AA Position	(−)	(−)
1	75	76
2	77	78
3	79	80
4		A, (RKH)
5		P
6	81
7	82	83
8		84
9	85	(RKH)
10	—	86

[0137] were preferred in 9-mers, aliphatic residues (L, V, I, M) were preferred in 10-mers.

[0138] At the C-terminus of the peptides, basic amino acids are not favored in position 7, and both acidic and basic amino acids are not favored in position 8 for 10-mers. This is in striking agreement with the observation that the same pattern was found in 9-mers at positions 6 and 7. Interestingly, again the favored residues differ between two peptides sizes. Aromatic (Y, F, W) or aliphatic (L, V, I, M) residues were preferred in 10-mers at position 8, while the A residue was preferred by 9-mers in the corresponding position 7.

[0139] By contrast, in the center of the peptide no similarities of frequency preferences were observed at positions 4, 5, and 6 in 10-mers and positions 4 and 5 in the 9-mers.

[0140] Most interestingly, among the residues most favored in the center of the tested peptides were G in position 4 and 6, P in position 5 was not observed in binders. All of these residues are known to dramatically influence the overall secondary structure of peptides, and in particular would be predicted to strongly influence the propensity of a 10-mer to adopt a “kinked” or “bulged” conformation.

[0141] Charged residues are predominantly deleterious for binding and are frequently observed in non-binders of 9-mers and 10-mers.

[0142] However, favored residues are different for 9-mers and 10-mers. Glycine is favored while Proline is disfavored in the center of 10-mer peptides but this is not the case for 9-mers.

[0143] These data establish the existence of an “insertion area” spanning two positions (4, 5) in 9-mers and 3 positions (4, 5, 6) in 10-mers. This insertion area is a more permissive region where few residue similarities are observed between the 9-mer and 10-mer antigenic peptides. Furthermore, in addition to the highly conserved anchor positions 2 and 9, there are “anchor areas” for unfavored residues in positions 1 and 3 at the N-terminus for both 9-mer and 10-mer and positions 7-10 or 6-9 at the C-terminus for 10-mers and 9-mers, respectively.

EXAMPLE 6

Algorithm to Predict Binding of 9-mer Peptides to HLA-A2.1

[0144] Within the population of potential A2.1 binding peptides identified by the 2,9 motif, as shown in the previous example, only a few peptides are actually good or intermediate binders and thus potentially immunogenic. It is apparent from the data previously described that the residues present in positions other than 2 and 9 can influence, often profoundly, the binding affinity of a peptide. For example, acidic residues at position 1 for A2.1 peptides do not appear to be tolerated. Therefore, a more exact predictor of binding could be generated by taking into account the effects of different residues at each position of a peptide sequence, in addition to positions 2 and 9.

[0145] More specifically, we have utilized the data bank obtained during the screening of our collection of A2.1 motif containing 9-mer peptides to develop an algorithm which assigns a score for each amino acid, at each position along a peptide. The score for each residue is taken as the ratio of the frequency of that residue in good and intermediate binders to the frequency of occurrence of that residue in non-binders.

[0146] In the present “Grouped Ratio” algorithm residues have been grouped by similarity. This avoids the problem encountered with some rare residues, such as tryptophan, where there are too few occurrences to obtain a statistically significant ratio. Table 16 is a listing of scores obtained by grouping for each of the twenty amino acids by position for. 9-mer peptides containing perfect 2/9 motifs. A peptide is scored in the “Grouped Ratio” algorithm as a product of the scores of each of its residues. In the case of positions other than 2 and 9, the scores have been derived using a set of peptides which contain only preferred residues in positions 2 and 9. To enable us to extend our “Grouped Ratio” algorithm

TABLE 16
	1	2	3	4	5	6	7	8	9
A	2.6	0.03	0.87	0.87	0.65	0.87	4.4	0.29	0.16
C	0.73	0.01	1.9	4.8	0.87	1.2	1.2	1.1	0.01
D	0.10	0.01	0.10	0.65	0.29	0.65	0.11	0.87	0.01
E	0.10	0.01	0.10	0.65	0.29	0.65	0.11	0.87	0.01
F	7.0	0.01	5.2	0.87	8.7	2.0	2.3	2.6	0.01
G	3.5	0.01	0.44	1.1	1.1	1.3	0.44	0.44	0.01
H	3.1	0.01	0.22	1.0	0.87	0.09	0.10	1.3	0.01
I	3.1	0.14	1.8	0.55	0.87	1.4	1.2	1.8	0.40
K	3.1	0.01	0.22	1.0	0.87	0.09	0.10	1.3	0.01
L	3.1	1.00	1.8	0.55	0.87	1.4	1.2	1.8	0.09
M	3.1	2.00	1.8	0.55	0.87	1.4	1.2	1.8	0.06
N	0.50	0.01	0.37	1.2	0.87	1.1	0.65	0.33	0.01
P	0.12	0.01	0.70	0.73	2.6	1.8	2.9	0.10	0.01
Q	0.50	0.01	0.37	1.2	0.87	1.1	0.65	0.33	0.01
R	3.1	0.01	0.22	1.0	0.87	0.09	0.10	1.3	0.01
S	0.73	0.01	1.9	4.8	0.87	1.2	1.2	1.1	0.01
T	0.73	0.01	1.9	4.8	0.87	1.2	1.2	1.1	0.01
V	3.1	0.08	1.8	0.55	0.87	1.4	1.2	1.8	1.00
W	7.0	0.01	5.2	0.87	8.7	2.0	2.3	2.6	0.01
Y	7.0	0.01	5.2	0.87	8.7	2.0	2.3	2.6	0.01

[0147] to peptides which may have residues other than the preferred ones at 2 and 9, scores for 2 and 9 have been derived from a set of peptides which are single amino acid substitutions at positions 2 and 9. FIG. 2 shows a scattergram of the log of relative binding plotted against “Grouped Ratio” algorithm score for our collection of 9-mer peptides from the previous example.

[0148] The present “Grouped Ratio” algorithm can be used to predict a population of peptides with the highest occurrence of good binders. If one were to rely, for example, solely on a 2(L,M) and 9(V) motif for predicting A2.1 binding 9-mer peptides, it would have been predicted that all 160 peptides in our database would be good binders. In fact, as has already been described, only 12% of these peptides would be described as good binders and only 22% as intermediate binders; 66% of the peptides predicted by such a 2,9 motif are either weak or non-binding peptides. In contrast, using the “Grouped Ratio” algorithm described above, and selecting a score of 1.0 as threshold, 41 peptides were selected. Of this set, 27% are good binders, and 49% are intermediate, while only 20% are weak and 5% are non-binders (Table 17).

[0149] The present example of an algorithm has used the ratio of binders/non-binders to measure the impact of a particular residue at each position of a peptide. It is immediately apparent to one of ordinary skill that there are alternative ways of creating a similar algorithm.

[0150] An algorithm using the average binding affinity of all the peptides with a certain amino acid (or amino acid type) at a certain position has the advantage of including all of the peptides in the analysis, and not just good/intermediate binders and non-binders. Moreover, it gives a more quantitative measure of affinity than the simpler “Grouped Ratio” algorithm. We have created such an algorithm by calculating for each amino acid, by position, the average log of binding when that particular residue occurs in our set of 160 2,9 motif containing peptides. These values are shown in Table 18. The algorithm score for a peptide is then taken as the sum of the scores by position for each residues. FIG. 3 shows a scattergram of the log of relative binding against the average “Log of Binding” algorithm score. Table 17 shows the ability of the two algorithms to predict peptide binding at various levels, as a function of the cut-off score used. The ability of a 2,9 motif to predict binding in the same peptide set is also shown for reference purposes. It is clear from this comparison that both algorithms of this invention have a greater ability to predict populations with higher frequencies of good binders than a 2,9 motif alone. Differences between the “Grouped Ratio” algorithm and the “Log of Binding” algorithm are small in the set of peptides analyzed here, but do suggest that the “Log of Binding” algorithm is a better, if only slightly, predictor than the “Grouped Ratio” algorithm.

[0151] The log of binding algorithm was further revised in two ways. First, poly-alanine (poly-A) data were incorporated into the algorithms at the anchor positions for residues included in the expanded motifs where data obtained by screening a large library of peptides were not available. Second, an “anchor requirement screening filter” was incorporated into the algorithm. The poly-A approach is described in detail, above. The “anchor requirement screening filter” refers to the way in which residues are scored at the anchor positions, thereby providing the ability to screen out peptides which do not have preferred or tolerated residues in the anchor positions. This is accomplished by assigning a score for unacceptable residues at the anchor positions which are so high as to preclude any peptide which contains them from achieving an overall score which would allow it to be considered as a potential binder.

[0152] The results for 9-mers and 10-mers are presented in Tables 26 and 27, below. In these tables, values are group values as follows: A; G; P; D,E; R,H,K; L,I,V,M; F,Y,W; S,T,C; and Q,N, except where noted in the tables.

TABLE 17
			Intermediate
Criteria	Cut-off	Good Binders	Binders	Weak Binders	Negative Binders	Totals
2.9 motif		19 (12%)	36 (22%)	58 (36%)	48 (30%)	161 (100%)
Grouped Ratio	1.5	5 (83%)	1 (17%)	0 (0%)	0 (0%)	6 (100%)
Algorithm	1.25	8 (67%)	4 (33%)	0 (0%)	0 (0%)	12 (100%)
		10 (50%)	9 (45%)	1 (5%)	0 (0%)	20 (100%)
	0.5	12 (32%)	17 (46%)	7 (19%)	1 (3%)	37 (100%)
	0	12 (23%)	26 (49%)	12 (23%)	3 (6%)	53 (100%)
	−1	17 (18%)	35 (37%)	33 (35%)	10 (11%)	95 (100%)
	−2	19 (15%)	36 (29%)	50 (40%)	21 (17%)	126 (100%)
	−3	19 (13%)	36 (24%)	56 (38%)	38 (26%)	149 (100%)
	no cut	19 (12%)	36 (22%)	58 (36%)	48 (30%)	161 (100%)
Log of Binding	−19	5 (100%)	0 (0%)	0 (0%)	0 (0%)	5 (100%)
Algorithm	−20	8 (73%)	3 (27%)	0 (0%)	0 (0%)	11 (100%)
	−21	15 (43%)	15 (43%)	5 (14%)	0 (0%)	35 (100%)
	−22	17 (26%)	27 (41%)	21 (32%)	1 (2%)	68 (100%)
	−23	18 (19%)	35 (37%)	34 (36%)	7 (7%)	94 (100%)
	−24	18 (16%)	36 (30%)	47 (39%)	17 (14%)	119 (100%)
	−25	19 (14%)	36 (26%)	55 (39%)	30 (21%)	140 (100%)
	no cut	19 (12%)	36 (22%)	58 (36%)	48 (30%)	161 (100%)

[0153]

TABLE 18
	1	2	3	4	5	6	7	8	9
A	−2.38	−3.22	−2.80	−2.68	−2.89	−2.70	−2.35	−3.07	−2.49
C	−2.94	−4.00	−2.58	−1.96	−3.29	−2.22	−2.97	−2.37	−4.00
D	−3.69	−4.00	−3.46	−2.71	−2.26	−2.63	−3.61	−3.03	−4.00
E	−3.64	−4.00	−3.51	−2.65	−3.39	−3.41	−3.21	−2.63	−4.00
F	−1.89	−4.00	−2.35	−2.50	−1.34	−2.43	−2.18	−1.71	−4.00
G	−2.32	−4.00	−3.04	−2.63	−2.56	−2.30	−3.13	−2.96	−4.00
H	−2.67	−4.00	−2.58	−2.58	−2.05	−3.32	−3.13	−2.16	−4.00
I	−1.65	−2.55	−2.80	−3.44	−2.74	−2.79	−2.20	−2.69	−2.10
K	−2.51	−4.00	−3.65	−2.93	−3.34	−3.77	−3.13	−3.27	−4.00
L	−2.32	−1.70	−2.02	−2.49	−2.71	−2.63	−2.62	−2.01	−2.74
M	−0.39	−1.39	−1.79	−3.07	−3.43	−1.38	−1.33	−0.97	−2.96
N	−3.12	−4.00	−3.52	−2.22	−2.36	−2.30	−3.14	−3.31	−4.00
P	−3.61	−4.00	−2.97	−2.64	−2.42	−2.31	−1.83	−2.42	−4.00
Q	−2.76	−4.00	−2.81	−2.63	−3.06	−2.84	−2.12	−3.05	−4.00
R	−1.92	−4.00	−3.41	−2.61	−3.05	−3.76	−3.43	−3.02	−4.00
S	−2.39	−3.52	−2.04	−2.12	−2.83	−3.04	−2.73	−2.02	−4.00
T	−2.92	−4.00	−2.60	−2.48	−2.17	−2.58	−2.67	−3.14	−3.70
V	−2.44	−2.64	−2.68	−3.29	−2.49	−2.24	−2.68	−2.83	−1.70
W	−0.14	−4.00	−1.01	−2.94	−1.63	−2.77	−2.85	−2.13	−4.00
X	−1.99	−2.13	−2.41	−2.97	−2.72	−2.70	−2.41	−2.35	−2.42
Y	−1.46	−4.00	−1.67	−2.70	−1.92	−2.39	−1.35	−3.37	−4.00

EXAMPLE 7

[0154] Use of an Algorithm to Predict Binding of 10-mer Peptides to HLA-A2.1

[0155] Using the methods described in the proceeding example, an analogous set of algorithms has been developed for predicting the binding of 10-mer peptides. Table 19 shows the scores used in a “Grouped Ratio” algorithm, and Table 20 shows the “Log of Binding” algorithm scores, for 10-mer peptides. Table 21 shows a comparison of the application of the two different algorithmic methods for selecting binding peptides. FIGS. 4 and 5 show, respectively, scattergrams of a set of 10-mer peptides containing preferred residues in positions 2 and 10 as scored by the “Grouped Ratio” and “Log of Binding” algorithms.

TABLE 19
	1	2	3	4	5	6	7	8	9	10
A	3.00	0.01	3.10	0.20	1.60	0.60	1.30	1.60	0.50	0.01
C	0.90	0.01	0.90	1.10	1.00	0.90	1.40	1.30	2.90	0.01
D	0.01	0.01	0.20	0.60	0.30	1.00	0.30	0.01	0.40	0.01
E	0.01	0.01	0.20	0.60	0.30	1.00	0.30	0.01	0.40	0.01
F	3.00	0.01	2.60	3.10	3.60	0.60	1.60	14.1	2.10	0.01
G	0.80	0.01	0.50	4.70	0.80	6.30	2.70	0.70	0.80	0.01
H	1.20	0.01	0.30	0.10	0.70	0.40	0.20	0.01	0.20	0.01
I	3.00	0.50	10.2	1.00	1.30	2.10	1.40	4.70	0.80	1.00
K	1.20	0.01	0.30	0.10	0.70	0.40	0.20	0.01	0.20	0.01
L	3.00	1.10	10.2	1.00	1.30	2.10	1.40	4.70	0.80	0.50
M	3.00	0.60	10.2	1.00	1.30	2.10	1.40	4.70	0.80	0.01
N	1.00	0.01	0.90	0.80	0.80	0.80	0.60	0.40	0.70	0.01
P	0.00	0.01	0.40	2.60	0.01	1.00	0.40	1.90	1.20	0.01
Q	1.00	0.01	0.90	0.80	0.80	0.80	0.60	0.40	0.70	0.01
R	1.20	0.01	0.30	0.10	0.70	0.40	0.20	0.01	0.20	0.01
S	0.90	0.01	0.90	1.10	1.00	0.90	1.40	1.30	2.90	0.01
T	0.90	0.01	0.90	1.10	1.00	0.90	1.40	1.30	2.90	0.01
V	3.00	0.10	10.2	1.00	1.30	2.10	1.40	4.70	0.80	2.30
W	3.00	0.01	2.60	3.10	3.60	0.60	1.60	14.1	2.10	0.01
Y	3.00	0.01	2.60	3.10	3.60	0.60	1.60	14.1	2.10	0.01

[0156]

TABLE 20
	1	2	3	4	5	6	7	8	9	10
A	−2.40	−4.00	−2.54	−3.42	−3.07	−3.30	−2.98	−2.69	−3.29	−4.00
C	−3.64	−4.00	−2.47	−2.48	−1.78	−3.94	−1.28	−3.10	−2.43	−4.00
D	−3.65	−4.00	−2.76	−3.26	−2.76	−3.03	−3.43	−3.68	−3.63	−4.00
E	−3.92	−4.00	−3.63	−3.34	−3.73	−2.82	−3.54	−3.71	−2.95	−4.00
F	−1.52	−4.00	−1.96	−3.03	−2.01	−3.11	−2.67	−1.61	−2.43	−4.00
G	−2.91	−4.00	−3.40	−2.63	−2.98	−2.45	−2.52	−3.18	−3.03	−4.00
H	−3.61	−4.00	−3.10	−3.03	−2.33	−2.99	−3.70	−3.55	−4.00	−4.00
I	−2.26	−4.00	−2.82	−3.05	−2.38	−2.61	−2.38	−3.34	−3.18	−1.47
K	−2.53	−4.00	−3.65	−3.42	−3.14	−3.58	−3.50	−3.53	−4.00	−4.00
L	−2.00	−2.93	−2.21	−2.48	−2.88	−2.53	−2.57	−1.83	−3.23	−3.20
M	−2.41	−3.11	−2.00	−3.33	−3.70	−2.56	−3.27	−2.25	−3.00	−4.00
N	−3.21	−4.00	−3.09	−2.61	−2.93	−2.89	−3.52	−3.01	−2.88	−4.00
P	−3.90	−4.00	−3.21	−2.27	−3.72	−3.06	−3.35	−2.58	−2.94	−4.00
Q	−2.92	−4.00	−2.97	−4.00	−2.98	−3.46	−2.20	−3.23	−3.45	−4.00
R	−3.01	−4.00	−3.44	−3.50	−3.23	−3.32	−3.72	−3.59	−2.97	−4.00
S	−2.47	−4.00	−3.17	−3.11	−3.23	−2.64	−3.19	−2.79	−2.26	−4.00
T	−3.59	−4.00	−3.07	−2.88	−2.89	−3.16	−2.43	−3.11	−2.58	−4.00
V	−2.97	−4.00	−2.46	−3.14	−3.27	−2.53	−3.14	−3.02	−2.90	−2.61
W	−2.10	−4.00	−2.72	−1.79	−2.65	−1.92	−1.80	−2.24	−2.11	−4.00
Y	−2.37	−4.00	−2.42	−2.85	−3.03	−3.76	−2.82	−2.34	−2.74	−4.00

[0157]

TABLE 21
			Intermediate
Criteria	Cut-off	Good Binders	Binders	Weak Binders	Negative Binders	Totals
2,10 motif		10 (6%)	29 (17%)	70 (41%)	61 (36%)	170 (100%)
Grouped Ratio	4	1 (100%)	0 (0%)	0 (0%)	0 (0%)	1 (100%)
Algorithm	3	1 (25%)	2 (50%)	1 (25%)	0 (0%)	4 (100%)
	2	6 (24%)	13 (52%)	6 (24%)	0 (0%)	25 (100%)
	1	10 (21%)	21 (45%)	16 (34%)	0 (0%)	47 (100%)
	0	10 (15%)	28 (42%)	26 (39%)	2 (3%)	66 (100%)
	−1	10 (11%)	29 (32%)	42 (46%)	11 (12%)	92 (100%)
	−2	10 (9%)	29 (25%)	54 (47%)	23 (20%)	116 (100%)
	−3	10 (7%)	29 (22%)	63 (47%)	32 (24%)	134 (100%)
	no cut	10 (6%)	29 (17%)	70 (41%)	61 (36%)	170 (100%)
Log of Binding	−24	2 (50%)	2 (50%)	0 (0%)	0 (0%)	4 (100%)
Algorithm	−25	5 (56%)	3 (33%)	1 (11%)	0 (0%)	9 (100%)
	−26	7 (47%)	5 (33%)	3 (20%)	0 (0%)	15 (100%)
	−27	10 (32%)	9 (29%)	12 (39%)	0 (0%)	31 (100%)
	−28	10 (17%)	18 (33%)	29 (50%)	0 (0%)	58 (100%)
	−29	10 (12%)	25 (30%)	48 (58%)	0 (0%)	83 (100%)
	−30	10 (10%)	29 (28%)	59 (57%)	5 (5%)	103 (100%)
	−31	10 (8%)	28 (22%)	66 (51%)	24 (19%)	128 (100%)
	−32	10 (7%)	29 (19%)	70 (47%)	40 (27%)	148 (100%)
	no cut	10 (6%)	29 (17%)	70 (41%)	61 (36%)	170 (100%)

EXAMPLE 8

Binding of A2.1 Algorithm Predicted Peptides

[0158] The results of Examples 6 and 7 indicate that an algorithm can be used to select peptides that bind to HLA-A2.1 sufficiently to have a high probability of being immunogenic. To test this result, we tested our algorithm on a large (over 1300) non-redundant, independent set of peptides derived from various sources. After scoring this set with our algorithm, we selected 41 peptides (Table 21) for synthesis, and tested them for A2.1 binding. This set of peptides was comprised of 21 peptides with high algorithm scores, and 20 peptides with low algorithm scores.

[0159] The binding data and categorization profile are shown in Tables 22 and 23 respectively. The correlation between binding and algorithm score was 0.69. It is immediately apparent from Table 23 the striking difference between peptides with high algorithm scores, and those with low algorithm scores. Respectively, 76% of the high scorers and none of the low scorers were either good or intermediate binders. This data demonstrates the utility of the algorithm of this invention.

	TABLE 22
			A2.1	Algorithm
	SEQUENCE	SOURCE	Binding	Score
	MMWFVVLTV	CMV	0.76	346
	YLLLYFSPV	CMV	0.75	312
	YLYRLNFCL	CMV	0.72	169
	FMWTYLVTL	CMV	0.68	336
	LLWWITILL	CMV	0.49	356
	GLWCVLFFV	CMV	0.47	1989
	LMIRGVLEV	CMV	0.45	296
	LLLCRLPFL	CMV	0.42	1356
	RLLTSLFFL	HSV	0.34	859
	LLLYYDYSL	HSV	0.28	390
	AMSRNLFRV	CMV	0.15	1746
	AMLTACVEV	CMV	0.089	411
	RLQPNVPLV	CMV	0.048	392
	VLARTFTPV	CMV	0.044	196
	RLLRGLIRL	CMV	0.037	494
	WMWFPSVLL	CMV	0.036	362
	YLCCGITLL	CMV	0.021	1043
	DMLGRVFFV	HSV	0.011	1422
	ALGRYQQLV	CMV	0.0089	184
	LMPPPVAEL	CMV	0.0066	416
	LMCRYTPRL	CMV	0.0055	414
	RLTWRLTWL	CMV	0.0052	250
	AMPRRVLHV	CMV	0.0014	628
	ALLLVLALL	CMV	0.0014	535
	AMSGTGTTL	CMV	0.0005	602
	MLNVMKEAV	CMV	0.0039	0.00031
	TMELMIRTV	CMV	0.0029	0.0013
	TLAAMHSKL	HSV	0.0008	0.0019
	TLNIVRDHV	CMV	0.0005	0.00021
	ELSIFRERL	HSV	0.0002	0.0020
	FLRVQQKAL	HSV	0.0002	0.00099
	ELQMMQDWV	CMV	0.0001	0.0020
	QLNAMKPDL	MT	0.0001	0.0017
	GLRQLKGAL	CMV	0.0001	0.0010
	TLRMSSKAV	HSV	0.0001	0.0085
	SLRIKRELL	CMV	0	0.0041
	DLKQMERVV	CMV	0	0.00026
	PLRVTPSDL	CMV	0	0.0019
	QLDYEKQVL	CMV	0	0.0012
	WLKLLRDAL	CMV	0	0.0012
	PMEAVRHPL	CMV	0	0.0011
	ELKQTRVNL	CMV	0	0.00053
	NLEVIHDAL	CMV	0	0.00050
	ELKKVKSVL	HSV	0	0.00033
	PLAYERDKL	CMV	0	0.00017

[0160]

TABLE 23
		Intermediate		Negative
Set	Good Binders	Binders	Weak Binders	Binders	Totals
HI Scorers	11 (52.4%)	5 (23.8%)	5 (23.8%)	0 (0.0%)	21 (100%)
Low Scorers	0 (0.0%)	0 (0.0%)	10 (50.0%)	10 (50.0%)	20 (100%)
Totals	11 (26.6%)	5 (12.2%)	15 (36.6%)	10 (24.4%)	41 (100%)

EXAMPLE 9

Ex Vivo Induction of Cytotoxic T Lymphocytes (CTL)

[0161] Peripheral blood mononuclear cells (PBMC) are isolated from an HLA-typed patient by either venipuncture or apheresis (depending upon the initial amount of CTLp required), and purified by gradient centrifugation using Ficoll-Paque (Pharmacia). Typically, one can obtain one million PBMC for every ml of peripheral blood, or alternatively, a typical apheresis procedure can yield up to a total of 1-10×1010 PBMC.

[0162] The isolated and purified PBMC are co-cultured with an appropriate number of antigen presenting cell (APC), previously incubated (“pulsed”) with an appropriate amount of synthetic peptide (containing the HLA binding motif and the sequence of the antigen in question). PBMC are usually incubated at 1-2×106 cells/ml in culture medium such as RPMI-1640 (with autologous serum or plasma) or the serum-free medium AIM-V (Gibco).

[0163] APC are usually used at concentrations ranging from 1×104 to 2×105 cells/ml, depending on the type of cell used. Possible sources of APC include: 1) autologous dendritic cells (DC), which are isolated from PBMC and purified as described (Inaba, et al., J. Exp. Med. 166:182 (1987)); and 2) mutant and genetically engineered mammalian cells that express “empty” HLA molecules (which are syngeneic [genetically identical] to the patient's allelic HLA form), such as the, mouse RMA-S cell line or the human T2 cell line. APC containing empty HLA molecules are known to be potent inducers of CTL responses, possibly because the peptide can associate more readily with empty MHC molecules than with MHC molecules which are occupied by other peptides (DeBruijn, et al., Eur. J. Immunol. 21:2963-2970 (1991)).

[0164] In those cases when the APC used are not autologous, the cells will have to be gamma irradiated with an appropriate dose (using, e.g., radioactive cesium or cobalt) to prevent their proliferation both ex vivo, and when the cells are re-introduced into the patients.

[0165] The mixture cultures, containing PBMC, APC and peptide are kept in an appropriate culture vessel such as plastic T-flasks, gas-permeable plastic bags, or roller bottles, at 370 centigrade in a humid air/CO2 incubator. After the activation phase of the culture, which usually occurs during the first 3-5 days, the resulting effector CTL can be further expanded, by the addition of recombinant DNA-derived growth factors such as interleukin-2 (IL-2), interleukin-4 (IL-4), or interleukin-7 (IL-7) to the cultures. An expansion culture can be kept for an additional 5 to 12 days, depending on the numbers of effector CTL required for a particular patient. In addition, expansion cultures may be performed using hollow fiber artificial capillary systems (Cellco), where larger numbers of cells (up to 1×1011) can be maintained.

[0166] Before the cells are infused into the patient, they are tested for activity, viability, toxicity and sterility. The cytotoxic activity of the resulting CTL can be determined by a standard 51Cr-release assay (Biddison, W. E. 1991, Current Protocols in Immunology, p7,17,1-7.17.5, Ed. J. Coligan et al., J. Wiley and Sons, New York), using target cells that express the appropriate HLA molecule, in the presence and absence of the immunogenic peptide. Viability is determined by the exclusion of trypan blue dye by live cells. Cells are tested for the presence of endotoxin by conventional techniques. Finally, the presence of bacterial or fungal contamination is determined by appropriate microbiological methods (chocolate agar, etc.). Once the cells pass all quality control and safety tests, they are washed and placed in the appropriate infusion solution (Ringer/glucose lactate) and infused intravenously into the patient.

EXAMPLE 10

Assays for CTL Activity

[0167] 1. Peptide synthesis: Peptide syntheses were carried out by sequential coupling of N-α-Fmoc-protected amino acids on an Applied Biosystems (Foster City, Calif.) 430A peptide synthesizer using standard Fmoc coupling cycles (software version 1.40). All amino acids, reagents, and resins were obtained from Applied Biosystems or Bachem. Solvents were obtained from Burdick & Jackson. Solid-phase synthesis was started from an appropriately substituted Fmoc-amino acid-Sasrin resin. The loading of the starting resin was 0.5-0.7 mmol/g polystyrene, and 0.1 or 0.25 meq were used in each synthesis. A typical reaction cycle proceeded as follows: 1) The N-terminal Fmoc group was removed with 25% piperidine in dimethylformamide (DMF) for 5 minutes, followed by another treatment with 25% piperdine in DMF for 15 minutes. The resin was washed 5 times with DMF. An N-methylpyrolidone (NMP) solution of a 4 to 10 fold excess of a pre-formed 1-hydroxybenzotriazole ester of the appropriate Fmoc-amino acid was added to the resin and the mixture was allowed to react for 30-90 min. The resin was washed with DMF in preparation for the next elongation cycle. The fully protected, resin bound peptide was subjected to a piperidine cycle to remove the terminal Fmoc group. The product was washed with dichloromethane and dried. The resin was then treated with trifluoroacetic acid in the presence of appropriate scavengers [e.g. 5% (v/v) water] for 60 minutes at 20° C. After evaporation of excess trifluoroacetic acid, the crude peptide was washed with dimethyl ether, dissolved in water and lyophilized. The peptides wee purified to >95% homogeneity by reverse-phase HPLC using H2O/CH3CN gradients containing 0.2% TFA modifier on a Vydac, 300 Å pore-size, C-18 preparative column. The purity of the synthetic peptides was assayed on an analytical reverse-phase column, and their composition ascertained by amino acid analysis and/or sequencing. Peptides were routinely dissolved in DMSO at the concentration of 20 mg/ml.

[0168] 2. Media: RPMI-1640 containing 10% fetal calf serum (FCS) 2 mM Glutamine, 50 μg/ml Gentamicin and 5×105M 2-mercaptoethanol served as culture medium and will be referred to as R10 medium.

[0169] RPMI-1640 containing 25 mM Hepes buffer and supplemented with 2% FCS was used as cell washing medium.

[0170] 3. Rat Concanavalin A supernatant: The spleen cells obtained from Lewis rats (Sprague-Dawley) were resuspended at a concentration of 5×106 cells/ml in R10 medium supplemented with 5 μg/ml of ConA in 75 cm2 tissue culture flasks. After 48 hr at 3° C., the supernatants were collected, supplemented with 1% α-methyl-D-mannoside and filter sterilized (0.45 μm filter). Aliquots were stored frozen at −20° C.

[0171] 4. LPS-activated lymphoblasts: Murine splenocytes were resuspended at a concentration of 1-1.5×106/ml in R10 medium supplemented with 25 μg/ml LPS and 7 μg/ml dextran sulfate in 75 cm2 tissue culture flasks. After 72 hours at 3° C., the lymphoblasts were collected for use by centrifugation.

[0172] 5. Peptide coating of lymphoblasts: Coating of the LPS activated lymphoblasts was achieved by incubating 30×106 lymphoblasts with 100 μg of peptide in 1 ml of R10 medium for 1 hr at 37° C. Cells were then washed once and resuspended in R10 medium at the desired concentration for use in in vitro CTL activation.

[0173] 6. Peptide coating of Jurkat A2/Kb cells: Peptide coating was achieved by incubating 10×106 irradiated (20,000 rads) Jurkat A2.1/Kb cells with 20 μg of peptide in 1 ml of R10 medium for 1 hour at 37° C. Cells were washed three times and resuspended at the required concentration in R10 medium.

[0174] 7. In Vitro CTL activation: One to four weeks after priming spleen cells (5×106 cells/well or 30×106 cells/T25 flask) were concultured at 37° C. with syngeneic, irradiated (3,000 rads), peptide coated lymphoblasts (2×106 cells/well or 10×106 cells/T25 flask) in R10 medium to give a final volume of 2 ml in 24-well plates or 10 ml in T25 flasks.

[0175] 8. Restimulation of effector cells: Seven to ten days after the initial in vitro activation, described in paragraph 7 above, a portion of the effector cells were restimulated with irradiated (20,000 rads), peptide-coated Jurkat A2/Kb cells (0.2×106 cells/well) in the presence of 3×106 “feeder cells”/well (C57B1/6 irradiated spleen cells) in R10 medium supplemented with 5% rat ConA supernatant to help provide all of the cytokines needed for optimal effector cell growth.

[0176] 9. Assay for cytotoxic activity: Target cells (3×106) were incubated at 37° C. in the presence of 200 μl of sodium 51Cr chromate. After 60 minutes, cells were washed three times and resuspended in R10 medium. Peptides were added at the required concentration. For the assay, 104 51Cr-labeled target cells wee added to different concentrations of effector cells (final volume of 200 μl) in U-bottom 96-2311 plates. After a 6-hour incubation period at 37° C., 0.1 ml aliquots of supernatant were removed from each well and radioactivity was determined in a Micromedic automatic gamma counter. The percent specific lysis was determined by the formula: percent specific release=100×(experimental release−spontaneous release)/(maximum release−spontaneous release). Where peptide titrations wee performed, the antigenicity of a given peptide (for comparison purposes) was expressed as the peptide concentration required to induce 40% specific 51Cr release at a given E:T.

[0177] Transgenic mice were injected subcutaneously in the base of the tail with an incomplete Freund's adjuvant emulsion containing 50 nM of the putative CTL epitopes containing the A2.1 motifs, and 50 nM of a hepatitis B core T helper epitope. Eight to 20 days later, animals were sacrificed and spleen cells were restimulated in vitro with syngeneic LPS lymphoblasts coated with the putative CTL epitope. A source of IL-2 (rat con A supernatant) was added at day 6 of the assay to a final concentration of 5% and CTL activity was measured on day 7. The capacity of these effector T cells to lyse peptide-coated target cells that express the A2 KB molecule (Jurkat A2 KB) was measured as lytic units. The results are presented in Table 24.

[0178] The results of this experiment indicate that those peptides having a binding of at least 0.01 are capable of inducing CTL. All of the peptides in Appendices 1 and 2 having a binding of at least about 0.01 would be immunogenic.

TABLE 24
Binding and Immunogenicity HBV Polymerase (ayw)
		CTL
Peptide		Ac-	Algo-
1	2	3	4	5	6	7	8	9	Binding***	tivity	rithm
F	L	L	S	L	G	I	H	L	0.52	63	−20.8
G	L	Y	S	S	T	V	P	V	0.15	10	−21.9
H	L	Y	S	H	P	I	I	L	0.13	10	−21.1
W	I	L	R	G	T	S	F	V	0.018	−+	−20.9
N	L	S	W	L	S	L	D	V	0.013	6	−24.7
L	L	S	S	N	L	S	W	L	0.005	−	−21.7
N	L	Q	S	L	T	N	L	L	0.003	−	−23.9
H	L	L	V	G	S	S	G	L	0.002	−	−24.7
L	L	D	D	E	A	G	P	L	0.0002	−	−25.5
P	L	E	E	E	L	P	R	L	0.0001	−	−26.1
D	L	N	L	G	N	L	N	V	—*	−	−25.7
N	L	Y	V	S	L	L	L	L	—	−	−23.6
P	L	P	I	H	T	A	E	L	—	−	−25.04
*— = <0.0001
**Relative binding Capacity compared to std with IC50 = 52 mM xxx Lytic units/106 cells;
1 lytic unit = the number of effector cells required to give 30% Cr51 release.
−, −+ no measurable cytotoxic activity.

EXAMPLE 11

Identification of Immunogenic Peptides

[0179] Using the motifs identified above for HLA-A2.1 allele amino acid sequences from a tumor-related protein, Melanoma Antigen-1 (MAGE-1), were analyzed for the presence of these motifs. Sequences for the target antigen are obtained from the GenBank data base (Release No. 71.0; 3/92). The identification of motifs is done using the “FINDPATTERNS” program (Devereux et al., Nucleic Acids Research 12:387-395 (1984)).

[0180] Other viral and tumor-related proteins can also be analyzed for the presence of these motifs. The amino acid sequence or the nucleotide sequence encoding products is obtained from the GenBank database in the cases of Human Papilloma Virus (HPV), Prostate Specific antigen (PSA), p53 oncogene, Epstein Barr Nuclear Antigen-1 (EBNA-1), and c-erb2 oncogene (also called HER-2/neu).

[0181] In the cases of Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV) several strains/isolates exist and many sequences have been placed in GenBank.

[0182] For HBV, binding motifs are identified for the adr, adw and ayw types. In order to avoid replication of identical sequences, all of the adr motifs and only those motifs from adw and ayw that are not present in adr are added to the list of peptides.

[0183] In the case of HCV, a consensus sequence from residue 1 to residue 782 is derived from 9 viral isolates. Motifs are identified on those regions that have no or very little (one residue) variation between the 9 isolates. The sequences of residues 783 to 3010 from 5 viral isolates were also analyzed. Motifs common to all the isolates are identified and added to the peptide list.

[0184] Finally, a consensus sequence for HIV type 1 for North American viral isolates (10-12 viruses) was obtained from the Los Alamos National Laboratory database (May 1991 release) and analyzed in order to identify motifs that are constant throughout most viral isolates. Motifs that bear a small degree of variation (one residue, in 2 forms) were also added to the peptide list.

[0185] Appendices 1 and 2 provide the results of searches of the following antigens cERB2, EBNA1, HBV, HCV, HIV, HPV, MAGE, p53, and PSA. Only peptides with binding affinity of at least 1% as compared to the standard peptide in assays described in Example 5 are presented. Binding as compared to the standard peptide is shown in the far right column. The column labeled “Pos.” indicates the position in the antigenic protein at which the sequence occurs.

EXAMPLE 12

Identification of immunogenic Peptides

[0186] Using the motifs disclosed here, amino acid sequences from various antigens were screened for further motifs. Screening was carried out as described in Example 11. Tables 25 and 26 provide the results of searches of the following antigens cERB2, CMV, Influenza A, HBV, HIV, HPV, MAGE, p53, PSA, Hu S3 ribosomal protein, LCMV, and PAP. Only peptides with binding affinity of at least 1% as compared to the standard peptide in assays described in Example 5 are presented. Binding as compared to the standard peptide is shown for each peptide.

	TABLE 25
				A2
	Sequence	Antigen	Molecule	Bind.
	KIFGSLAFL	c-ERB2		0.1500
	RILHNGAYSL	c-ERB2		0.0180
	IISAVVGILL	c-ERB2		0.0120
	MMWFVVLTV	CMV		0.7600
	YLLLYFSPV	CMV		0.7500
	YLYRLNFCL	CMV		0.7200
	FMWTYLVTL	CMV		0.6800
	LLWWITILL	CMV		0.4900
	GLWCVLFFV	CMV		0.4700
	LMIRGVLEV	CMV		0.4500
	LLLCRLPFL	CMV		0.4200
	AMSRNLFRV	CMV		0.1500
	AMLTACVEV	CMV		0.1000
	RLQPNVPLV	CMV		0.0480
	VLARTFTPV	CMV		0.0440
	RLLRGLIRL	CMV		0.0370
	WMWFPSVLL	CMV		0.0360
	YLCCGITLL	CMV		0.0210
	SLLTEVETYV	FLU-A	M1	0.0650
	LLTEVETYV	FLU-A	M1	0.2000
	LLTEVETYVL	FLU-A	M1	0.0130
	GILGFVFTL	FLU-A	M1	0.1900
	GILGFVFTLT	FLU-A	M1	0.0150
	ILGFVFTLT	FLU-A	M1	0.2600
	ILGFVFTLTV	FLU-A	M1	0.0550
	ALASCMGLI	FLU-A	M1	0.0110
	RMGAVTTEV	FLU-A	M1	0.0200
	VTTEVAFGL	FLU-A	M1	0.0360
	MVTTTNPLI	FLU-A	M1	0.0150
	FTFSPTYKA	HBV	POL	0.0190
	YLHTLWKAGI	HBV	POL	0.0280
	LMLQAGFFLV	HBV(a)	ENV(a)	0.6300
	RMLTIPQSV	HBV(a)	ENV(a)	0.0580
	SLDSWWTSV	HBV(a)	ENV(a)	0.1000
	FMLLLCLIFL	HBV(a)	ENV(a)	0.0450
	LLPFVQWFV	HBV(a)	ENV(a)	0.6500
	LMPFVQWFV	HBV(a)	ENV(a)	0.8300
	FLGLSPTVWV	HBV(a)	ENV(a)	0.0300
	SMLSPFLPLV	HBV(a)	ENV(a)	0.9700
	GLWIRTPPV	HBV(a)	ENV(a)	0.3600
	NLGNLNVSV	HBV(a)	ENV(a)	0.0160
	YLHTLWKAGV	HBV(a)	POL(a)	0.1500
	RLTGGVFLV	HBV(a)	POL(a)	0.1600
	RMTGGVFLV	HBV(a)	POL(a)	0.1500
	RLTGGVFLV	HBV(a)	ENV(a)	0.1600
	ILGLLGFAV	HBV(a)	ENV(a)	0.0600
	GLCQVFADV	HBV(a)	ENV(a)	0.0300
	WLLRGTSFV	HBV(a)	ENV(a)	0.1000
	YLPSALNPV	HBV(a)	ENV(a)	0.3200
	LLVPFVQWFA	HBV adr		0.2600
	FLPSDFFPSI	HBV adr		0.2100
	VVSYVNVNM	HBV adr		0.0100
	HLPDRVHFA	HBV adr		0.0160
	SLAFSAVPA	HBV adr		0.0340
	FLLTKILTI	HBV adw		0.6300
	SLYNILSPFM	HBV adw		0.0440
	CLFHIVNLI	HBV adw		0.2100
	RLPDRVHFA	HBV adw		0.0940
	ALPPASPSA	HBV adw		0.0710
	GLLGWSPQA	HBV ayw		0.8650
	FLGPLLVLQA	HBV ayw		0.0190
	FLLTRILTI	HBV ayw		0.9300
	GMLPVCPLI	HBV ayw		0.0520
	QLFHLCLII	HBV ayw		0.0390
	KLCLGWLWGM	HBV ayw		0.0210
	LLWFHISCLI	HBV ayw		0.0130
	YLVSFGVWI	HBV ayw		2.7000
	LLEDWGPCA	HBV ayw		0.0180
	KLHLYSHPI	HBV ayw		0.2900
	FLLAQFTSA	HBV ayw		0.6600
	LLAQFTSAI	HBV ayw		9.6000
	YMDDVVLGA	HBV ayw		0.1600
	ALMPLYACI	HBV ayw		0.2000
	GLCQVFADA	HBV ayw		0.0180
	HLPDLVHFA	HBV ayw		0.1100
	RLCCQLDPA	HBV ayw		0.0290
	ALMPLYACI	HBV ayw		0.5000
		polymerase
	FLCKQYLNL	HBV ayw		0.0210
		polymerase
		665-673
	SLYADSPSV	HBV		0.3500
		polymerase
	ALMPLYASI	HBV		0.0760
		polymerase
	NLNNLNVSI	HBV		0.0660
		polymerase
	ALSLIVNLL	HBV		0.0470
		polymerase
	KLHLYSHPI	HBV		0.2900
		polymerase
	WILRGTSFV	HBV		0.0270
		polymerase
		1344-1352
	LVLQAGFFLL	HBVadr	ENV	0.0150
	FILLLCLIFL	HBVadr	ENV	0.0280
	WILRGTSFV	HBVadr	POL	0.0180
	IISCTCPTV	HBVadw	PreCore	0.0190
	LVPFVQWFV	HBVadw	ENV	0.0200
	LIISCSCPTV	HBVadw	CORE	0.0290
	FLPSDFFPSI	HBVayr	PreCore	0.2100
	LLCLGWLWGM	HBVayr	PreCore	0.0220
	QLFHLCLII	HBVayw	PreCore	0.0390
	CLGWLTGMDI	HBVayw	PreCore	0.0190
	FLGGTTVCL	HBVayw	ENV	0.1700
	SLYSILSPFL	HBVayw	ENV	0.2000
	FLPSDFFPSV	HBVayw	CORE	1.5000
	ILCWGELMTL	HBVayw	CORE	0.1900
	LMTLATWVGV	HBVayw	CORE	0.6800
	TLATWVGVNL	HBVayw	CORE	0.5700
	GLSRYVARL	HBVayw	POL	0.1200
	FLCKQYLNL	HBVayw	POL	0.1700
	RMRGTFSAPL	HBVayw	POL	0.0110
	SLYADSPSV	HBVayw	POL	0.3500
	YLYGVGSAV	HCV		0.1600
	LLSTTEWQV	HCV		0.0480
	IIGAETFYV	HIV	POL	0.0260
	QLWVTVYYGV	HIV	ENV	0.0250
	NLWVTVYYGV	HIV	ENV	0.0160
	KLWVTVYYGV	HIV	ENV	0.0150
	KLWVTVYYGV	HIV.MN		0.0150
		gp160
	YMLDLQPET	HPV16	E7	1.4000
	TLGIVCPI	HPV16	E7	0.6500
	YLLDLQEPV	HPV16 (a)	E7 (a)	0.2200
	YMLDLQPEV	HPV16 (a)	E7 (a)	1.9000
	MLDLQPETT	HPV16E7	E7	0.0130
	SLQDIEITCVYCKTV	HPV18	E6	0.0100
	RLLTSLFFL	HSV		0.3400
	RLLTSLFFL	HSV		0.3400
	LLLYYDYSL	HSV		0.2800
	DMLGRVFFV	HSV		0.0110
	TMFEALPHI	LCMV	Gp	0.2000
	ALISFLLLA	LCMV	Gp	0.2200
	TLMSIVSSL	LCMV	Gp	0.2000
	NISGYNFSL	LCMV	Np	0.0280
	ALLDGGNML	LCMV	Np	0.0320
	ALHLFKTTV	LCMV	Gp	0.0170
	SLISDQLLM	LCMV	Gp	0.0540
	WLVTNGSYL	LCMV	Gp	0.0180
	ALMDLLMFS	LCMV	Gp	0.4300
	LMDLLMFST	LCMV	Gp	0.0460
	LMFSTSAYL	LCMV	Gp	0.3600
	YLVSIFLHL	LCMV	Gp	0.4200
	SLHCKPEEA	MAGE1		0.0130
	ALGLVCVQA	MAGE1		0.0150
	LVLGTLEEV	MAGE1		0.0320
	GTLEEVPTA	MAGE1		0.0130
	CILESLFRA	MAGE1		0.0460
	KVADLVGFLL	MAGE1		0.0560
	KVADLVGFLLL	MAGE1		0.0200
	VMIMEGGHA	MAGE1		0.0360
	SMHCKPEEV	MAGE1 (a)		0.0180
	AMGLVCVQV	MAGE1 (a)		0.0120
	LMLGTLEEV	MAGE1 (a)		0.1300
	KMADLVGFLV	MAGE1 (a)		1.5000
	VMVTCLGLSV	MAGE1 (a)		0.3000
	LLGDNQIMV	MAGE1 (a)		0.0430
	QMMPKTGFLV	MAGE1 (a)		0.0500
	VMIAMEGGHV	MAGE1 (a)		0.0530
	WMELSVMEV	MAGE1 (a)		0.0410
	FLWGPRALA	MAGE1N		0.0420
	RALAETSYV	MAGE1N		0.0100
	ALAETSYVKVL	MAGE1N		0.0120
	ALAETSYVKV	MAGE1N		0.0150
	KVLEYVIKV	MAGE1N		0.0900
	YVIKVSARV	MAGE1N		0.0140
	ALREEEEGV	MAGE1N		0.0210
	YMFLWGPRV	MAGE1N (a)		0.2200
	KMVELVHFLLL	MAGE2		0.6700
	KMVELVHFL	MAGE2		0.1600
	KMVELVHFLL	MAGE2		0.1100
	KASEYLQLV	MAGE2		0.0110
	YLQLVFGIEV	MAGE2		0.3700
	LVFGIEVVEV	MAGE2		0.0120
	QLVFGIELMEV	MAGE3		0.3400
	KVAELVHFL	MAGE3		0.0550
	KVAELVHFLL	MAGE3		0.0120
	ELMEVDPIGHL	MAGE3		0.0260
	HLYIFATCLGL	MAGE3		0.0410
	IMPKAGLLIIV	MAGE3		0.0130
	LVFGIELMEV	MAGE3		0.1100
	ALGRNSFEV	p53 264-272 A8 (A1)	0.0570
	LLGANSFEV	p53 264-272 A8 (A4)	0.1100
	LLGRASFEV	p53 264-272 A8 (A5)	0.2200
	LLGRNAFEV	p53 264-272 A8 (A6)	0.0390
	LLGRNSFAV	p53 264-272 A8 (A8)	0.0420
	RLGRNSFEV	p53 264-272 A8 (R1)	0.0190
	LLGRRSFEV	p53 264-272 A8 (R5)	0.0540
	LLGRNSFRV	p53 264-272 A8 (R8)	0.0250
	LLFFWLDRSV	PAP		0.6000
	VLAKELKFV	PAP		0.0590
	ILLWQPIPV	PAP		1.3000
	IMYSAHDTTV	PAP		0.0610
	FLTLSVTWI	PSA		0.0150
	FLTLSVTWIGA	PSA		0.0160
	FLTLSVTWI	PSA		0.0150
	VLVHPQWVLTA	PSA		0.0130
	SLFHPEDTGQV	PSA		0.0190
	MLLRLSEPAEL	PSA		0.1400
	ALGTTCYA	PSA		0.0230
	KLQCVDLHVI	PSA		0.0370
	FLPSDYFPSV	HBVc18-27 analog	1.0000
	YSFLPSDFFPSV	HBVc18-27 analog	0.0190

[0187]

	TABLE 26
				A2
	Sequence	Antigen	Molecule	Bind.
	ALFLGFLGAA	HIV	gp160	0.4950
	MLQLTVWGI	HIV	gp160	0.2450
	RVIEVLQRA	HIV	gp160	0.1963
	KLTPLCVTL	HIV	gp160	0.1600
	LLIAARIVEL	HIV	gp160	0.1550
	SLLNATDIAV	HIV	gp160	0.1050
	ALFLGFLGA	HIV	gp160	0.0945
	HMLQLTVWGI	HIV	gp160	0.0677
	LLNATDIAV	HIV	gp160	0.0607
	ALLYKLDIV	HIV	gp160	0.0362
	WLWYIKIFI	HIV	gp160	0.0355
	TIIVHLNESV	HIV	gp160	0.0350
	LLQYWSQEL	HIV	gp160	0.0265
	IMIVGGLVGL	HIV	gp160	0.0252
	LLYKLDIVSI	HIV	gp160	0.0245
	FLAIIWVDL	HIV	gp160	0.0233
	TLQCKIKQII	HIV	gp160	0.0200
	GLVGLRIVFA	HIV	gp160	0.0195
	FLGAAGSTM	HIV	gp160	0.0190
	IISLWDQSL	HIV	gp160	0.0179
	TVWGIKQLQA	HIV	gp160	0.0150
	LLGRRGWEV	HIV	gp160	0.0142
	AVLSIVNRV	HIV	gp160	0.0132
	FIMIVGGLV	HIV	gp160	0.0131
	LLNATDIAVA	HIV	gp160	0.0117
	FLYGALLLA	PLP		1.9000
	SLLTFMIAA	PLP		0.5300
	FMIAATYNFAV	PLP		0.4950
	RMYGVLPWI	PLP		0.1650
	IAATYNFAV	PLP		0.0540
	GLLECCARCLV	PLP		0.0515
	YALTVVWLL	PLP		0.0415
	ALTVVWLLV	PLP		0.0390
	FLYGALLL	PLP		0.0345
	SLCADARMYGV	PLP		0.0140
	LLVFACSAV	PLP		0.0107
	Sequence	Antigen	A2
	KMVELVHFLL	MAGE2	0.2200
	KVAELVHFL	MAGE3	0.0550
	RALAETSYV	MAGE1N	0.0100
	LVFGIELMEV	MAGE3	0.1100
	FLWGPRALA	MAGE1N	0.0420
	ALAETSYVKV	MAGE1	0.0150
	LVLGTLEEV	HIV	0.0320
	LLWKGEGAVV	HIV	0.0360
	IIGAETFYV	HIV	0.0260
	LMVTVYYGV	HIV	0.4400
	LLFNILGGWV	HCV	3.5000
	LLALLSCLTV	HCV	0.6100
	YLVAYQATV	HCV	0.2500
	FLLLADARV	HCV	0.2300
	ILAGYGAGV	HCV	0.2200
	YLLPRRGPRL	HCV	0.0730
	GLLGCIITSL	HCV	0.0610
	DLMGYIPLV	HCV	0.0550
	LLALLSCLTI	HCV	0.0340
	VLAALAAYCL	HCV	0.0110
	LLVPFVQWFV	HBV	1.6000
	FLLAQFTSA	HBV	0.6600
	FLLSLGIHL	HBV	0.5200
	ALMPLYACI	HBV	0.5000
	ILLLCLIFLL	HBV	0.3000
	LLPIFFCLWV	HBV	0.1000
	YLHTLWKAGI	HBV	0.0560
	YLHTLWKAGV	HBV	0.1300

Example 13

Identification of Immunogenic Peptides in Autoantigens

[0188] As noted above, the motifs of the present invention can also be screened in antigens associated with autoimmune diseases. Using the motifs identified above for HLA-A2.1 allele amino acid sequences from myelin proteolipid (PLP), myelin basic protein (MBP), glutamic acid decarboxylase (GAD), and human collagen types II and IV were analyzed for the presence of these motifs. Sequences for the antigens were obtained from Trifilieff et al., C.R. Sceances Acad. Sci. 300:241 (1985); Eyler at al., J. Biol. Chem. 246:5770 (1971); Yamashita et al. Biochiem. Biophys. Res. Comm. 192:1347 (1993); Su et al., Nucleic Acids Res. 17:9473 (1989) and Pihlajaniemi et al. Proc. Natl. Acad. Sci. USA 84:940 (1987). The identification of motifs was done using the approach described in Example 5 and the algorithms of Examples 6 and 7. Table 27 provides the results of the search of these antigens.

[0189] Using the quantitative binding assays of Example 4, the peptides are next tested for the ability to bind MHC molecules. The ability of the peptides to suppress proliferative responses in autoreactive T cells is carried out using standard assays for T cell proliferation. For instance, methods as described by Miller et al. Proc. Natl. Acad. Sci. USA, 89:421 (1992) are suitable.

[0190] For further study, animal models of autoimmune disease can be used to demonstrate the efficacy of peptides of the invention. For instance, in HLA transgenic mice, autoimmune model diseases can be induced by injection of MBP, PLP or spinal cord homogenate (for MS), collagen (for arthritis). In addition, some mice become spontaneously affected by autoimmune disease (e.g., NOD mice in diabetes). Peptides of the invention are injected into the appropriate animals, to identify preferred peptides.

TABLE 27

Pos

AA

P1

P2

P3

P4

P5

P6

P7

P8

P9

P10

Allele

Motif

Human PLP peptides

3

9

L

L

E

C

C

A

R

C

L

A2.1

(LM)2; (LVI)c

23

9

G

L

C

F

F

G

V

A

L

39

9

A

L

T

G

T

E

K

L

I

134

9

S

L

E

R

V

C

H

C

L

145

9

W

L

G

H

P

D

K

F

V

158

9

A

L

T

V

V

W

L

L

V

164

9

L

L

V

F

A

C

S

A

V

205

9

R

M

Y

G

V

L

P

W

I

2

10

G

L

L

E

C

C

A

R

C

L

3

10

L

L

E

C

C

A

R

C

L

V

10

10

C

L

V

G

A

P

F

A

S

L

163

10

W

L

L

V

F

A

C

S

A

V

250

10

T

L

V

S

L

L

T

F

M

I

64

9

V

I

H

A

F

Q

Y

V

I

Algorithm

80

9

F

L

Y

G

A

L

L

L

A

157

9

Y

A

L

T

V

V

W

L

L

163

9

W

L

L

V

F

A

C

S

A

234

9

Q

M

T

F

H

L

F

I

A

251

9

L

V

S

L

L

T

F

M

I

253

9

S

L

L

T

F

M

I

A

A

259

9

I

A

A

T

Y

N

F

A

V

84

10

A

L

L

L

A

E

G

F

Y

T

157

10

Y

A

L

T

V

V

W

L

L

V

165

10

L

V

F

A

C

S

A

V

P

V

218

10

K

V

C

G

S

N

L

L

S

I

253

10

S

L

L

T

F

M

I

A

A

T

Human Collagen TypeIV peptides

5

9

A

L

M

G

P

L

G

L

L

A2.1

(LM)2; (LVI)c

11

9

G

L

L

G

Q

I

G

P

L

23

9

G

M

L

G

Q

K

G

E

I

231

9

P

L

G

Q

D

G

L

P

V

3

10

T

L

A

L

M

G

P

L

G

L

24

10

M

L

G

Q

K

G

E

I

G

L

59

10

P

L

G

K

D

G

P

P

G

V

139

10

P

L

G

L

P

G

A

S

G

L

Human Collagen TypeII peptides

794

9

G

L

A

G

Q

R

G

I

V

A2.1

(LM)2; (LVI)c

17

9

V

M

Q

G

P

M

G

P

M

Algorithm

Human GAD peptides

56

9

S

L

E

E

K

S

R

L

V

A2.1

(LM)2; (LVI)c

116

9

F

L

L

E

V

V

D

I

L

117

9

L

L

E

V

V

D

I

L

L

150

9

G

M

E

G

F

N

L

E

L

157

9

E

L

S

D

H

P

E

S

L

168

9

I

L

V

D

C

R

D

T

L

190

9

Q

L

S

T

G

L

D

I

I

229

9

T

L

K

K

M

R

E

I

V

275

9

G

M

A

A

V

P

K

L

V

300

9

A

L

G

F

G

T

D

N

V

A2.1

(LM)2; (LVI)c

409

9

V

L

L

Q

C

S

A

I

L

410

9

L

L

Q

C

S

A

I

L

V

416

9

I

L

V

K

E

K

G

I

L

466

9

L

M

W

K

A

K

G

T

V

534

9

K

L

H

K

V

A

P

K

I

546

9

M

M

E

S

G

T

T

M

V

582

9

F

L

I

E

E

I

E

R

L

42

10

K

L

G

L

K

I

C

G

F

L

116

10

F

L

L

E

V

V

D

I

L

L

138

10

V

L

D

F

H

H

P

H

Q

L

147

10

L

L

E

G

M

E

G

F

N

L

212

10

N

M

F

T

Y

E

I

A

P

V

275

10

G

M

A

A

V

P

K

L

V

L

300

10

A

L

G

F

G

T

D

N

V

I

328

10

I

L

E

A

K

Q

K

G

Y

V

381

10

L

M

S

R

K

H

R

H

K

L

409

10

V

L

L

Q

C

S

A

I

L

V

435

10

L

L

Q

P

D

K

Q

Y

D

V

465

10

W

L

M

W

K

A

K

G

T

V

485

10

E

L

A

E

Y

L

Y

A

K

I

545

10

L

M

M

E

S

G

T

T

M

V

252

9

G

A

I

S

N

M

Y

S

I

Algorithm

367

9

N

L

W

L

H

V

D

A

A

567

9

R

M

V

I

S

N

P

A

A

299

10

A

A

L

G

F

G

T

D

N

V

406

10

M

M

G

V

L

L

Q

C

S

A

423

10

I

L

Q

G

C

N

Q

M

C

A

Example 14

Immunogenicity of HPV Peptides in A2.1 Transgenic Mice

[0191] A group of 14 HPV peptides, including 9 potential epitopes plus 3 low binding and one non-binding peptides as controls was screened for immunogenicity in HLA-A2.1 transgenic mice using the methods described in Example 10. To test the immunogenic potential of the peptides, HLA A2.1 transgenic mice were injected with 50 μg/mouse of each HPV peptide together with 140 μg/mouse of helper peptide (HBV core 128-140 (TPPAYRPPNAPIL). The peptides were injected in the base of the tail in a 1:1 emulsion IFA. Three mice per group were used. As a positive control, the HBV polymerase 561-570 peptide, which induced a strong CTL response in previous experiments, was utilized.

[0192] Based on these results (Table 28), four unrelated peptides were considered to be the most immunogenic: TLGIVCPI, LLMGTLGIV, YMLDLQPETT, and TIHDIILECV. TLGIVCPI and YMLDLQPETT were found to be good HLA-A2.1 binders, while LLMGTLGIV and TIHDIILECV were found to be intermediate binders in previous binding assays.

TABLE 28
HPV-16 Peptides for possible use in clinical trial
Peptide
Position/			A2.1	Immunogenicity	Immunogenicity
Cytel ID	Sequence	AA	binding	Experiment 1	Experiment 2
E7.86/1088.01	TLGIVCPI	8	0.15	94.4 (1.34)	54.2 (1.43)*
E7.86/1088.06	TLGIVCPIC	9	0.075	2.05 (4.93)	1.3 (3.74)
E7.85/1088.08	GTLGIVCPI	9	0.021	9/08 (3.93)	—**
E7.11/1088.03	YMLDLQPETT	10	0.15	10.32 (1.66)	5.7 (2.39)
E7.11/1088.04	YMLDLQPET	9	0.14	5.0 (3.70)	2.6 (15.5)
E7.12/1088.09	MLDLQPETT	9	0.0028	—	—
E6.52/1088.05	FAFRDLCIV	9	0.057	—	ND
E7.82/1088.02	LLMGTLGIV	9	0.024	9.62 (2.53)	8.93 (1.91)
E6.29/1088.10	TIHDIILECV	10	0.021	22.13 (3.71)	0.4 (3.52)
E7.7/1088.07	TLHEYMLDL	9	0.0070	—	1.2 (3.88
E6.18/1088.15	KLPQLCTEL	9	0.0009	—	0.3 (5.64)
E6.7/1088.11	AMFQDPQER	10	0.0002	—	ND
E6.26/1088.12	LQTTIHDII	9	0.0002	—	—
E7.73/1088.13	HYDIRTLED	9	0	—	ND
*Δ Lytic Units, geometric mean x + SD (3 mice/peptide)
**a dash indicates Δ Lytic Units with a geometric mean ≦0.2

[0193] Mixtures of Selected HPV Epitopes

[0194] A combination of CTL peptides and a helper peptide were tested for the ability to provide an increased immune response. The four single peptides were injected separately in order to compare their immunogenicity to injections containing only the two good binders or only the two intermediate binders. In addition all four peptide were injected together. To further evaluate the immunogenicity of a combination of peptides with different binding affinity decreases, another control was introduced in this experiment. A mixture of the two good binders was injected in a different site than the mixture of the two intermediate binders into the base of the tail of the same mouse. All groups of CTL epitopes were injected together with the HBVc helper epitope, with the exception of two groups in which all four HPV coinjected with two different doses of a PADRE helper peptide (aKXVAAWTLKAAa., where a is d-alanine and X is cyclohexylalanine) either 1 μg or 0.05 μg per mouse.

[0195] All four peptides induced a strong CTL response when injected alone and tested using target cells labeled with the appropriate peptide (Table 29). TLGIVCPI proved to be the strongest epitope, an observation confirming the results described above. When mixtures of all four peptides were injected and the responses were stimulated in vitro and tested with target cells pulsed with each single peptide, all combinations showed a strong CTL response. No significant difference was observed when the two helper epitopes were compared. This might in part be due to the fact that the highest dose of PADRE used in this experiment was 140-fold lower than the one for the HBV helper peptide.

[0196] Injection of mixtures of the two good binders together or the two intermediate binders resulted in a very low CTL response in both cases even though the single peptides were highly effective. These results, however, are due to a very low number of cell recovery after splenocyte culture of 6 days and are therefore regarded as preliminary.

TABLE 29
HPV Peptides single and in combinations
Peptide/s	Peptides in restimulation and CTL assay
injected	1088.01	1088.02	1088.03	1088.10
same as	116.1 (3.49)*	55.98 (2.49)	5.56 (1.75)	16.4 (1.49)
in vitro
1088.01 +	1.37 (16.56)		0 (0)
1088.03 +
875.23
1088.02 +		1.11 (2.9)		1.62 (13.1)
1088.10 +
875.23
1088.01/	19.5 (4.1)	4.68 (2.3)	1.13 (21.9)	1.17 (2.58)
.03 +
1088.02/
.10 +
875.23
1088.all +	107.9 (4.77)	13.52 (1.4)	2.58 (5.07)	102.3 (1.32)
875.23
1088.all +	73.11 (4.48)	16.83 (2.54)	3.55 (2.9)	20.13 (1.05)
PADRE
1 μg
1088.all +	37.15 (2.25)	26.79 (2.09)	6.5 (1.64)	4.45 (4.14)
PADRE
0.05 μg
*Δ Lytic Units 30% geometric mean (+x deviation)
Peptides were dissolved in 50% DMSO/H2O to reach a stock concentration of 20 mg/ml and were further dissolved in sterile PBS. For subcutaneous injection in the base of the tail of A2.1 transgenic mice, the peptide solution was mixed 1:1 with IFA. The injected amount of HPV-CTL peptides was 50 μg/mouse coinjected with 140 μg/mouse of the HBVcore peptide 875.23 or the indicated dose of PADRE (3 mice/group). Spleens were removed on
# day 11 and splenocytes were restimulated in vitro with irradiated LPS-Blasts pulsed with the indicated HPV-CTL epitopes at 1 μg/ml. After six days, the cytotoxic assay was performed using Jurkat JA2Kb cells (A) or MBB17 (B) as target cells labelled with 51 Cr in the presence or absence of the appropriate HPV epitope peptides.

[0197] The above examples are provided to illustrate the invention but not to limit its scope. Other variants of the invention will be readily apparent to one of ordinary skill in the art and are encompassed by the appended claims. All publications, patents, and patent applications cited herein are hereby incorporated by reference.

Claims

1. A composition comprising an immunogenic peptide having an HLA-A2.1 binding motif, which immunogenic peptide has 9 residues and the following residues: a first conserved residue at the second position from the N-terminus selected from the group consisting of I, V, A and T; a second conserved residue at the C-terminal position selected from the group consisting of V, L, I, A and M.

2. A composition comprising an immunogenic peptide having an HLA-A2.1 binding motif, which immunogenic peptide has 9 residues: a first conserved residue at the second position from the N-terminus selected from the group consisting of L, M, I, V, A and T; a second conserved residue at the C-terminal position selected from the group consisting of A and M;

3. The composition of claim 1, wherein the amino acid at position 1 is not an amino acid selected from the group consisting of D, and P.

4. The composition of claim 2, wherein the amino acid at position 1 is not an amino acid selected from the group consisting of D, and P.

5. The composition of claim 1, wherein the amino acid at position 3 from the N-terminus is not an amino acid selected from the group consisting of D, E, R, K and H.

6. The composition of claim 2, wherein the amino acid at position 3 from the N-terminus is not an amino acid selected from the group consisting of D, E, R, K and H

7. The composition of claim 1, wherein the amino acid at position 6 from the N-terminus is not an amino acid selected from the group consisting of R, K and H.

8. The composition of claim 2, wherein the amino acid at position 6 from the N-terminus is not an amino acid selected from the group consisting of R, K and H.

9. The composition of claim 1, wherein the amino acid at position 7 from the N-terminus is not an amino acid selected from the group consisting of R, K, H, D and E.

10. The composition of claim 2, wherein the amino acid at position 7 from the N-terminus is not an amino acid selected from the group consisting of R, K, H, D and E.

11. A composition comprising an immunogenic peptide having an HLA-A2.1 binding motif, which immunogenic peptide has about 10 residues: a first conserved residue at the second position from the N-terminus selected from the group consisting of L, M, I, V, A, and T; and a second conserved residue at the C-terminal position selected from the group consisting of V, I, L, A and M; wherein the first and second conserved residues are separated by 7 residues.

12. The composition of claim 11, wherein the amino acid at position 1 is not an amino acid selected from the group consisting of D, E and P.

13. The composition of claim 11, wherein the amino acid at position 3 from the N-terminus is not an amino acid selected from the group consisting of D and E.

14. The composition of claim 11, wherein the amino acid at position 4 from the N-terminus is not an amino acid selected from the group consisting of A, K, R and H.

15. The composition of claim 11, wherein the amino acid at positon 5 from the N-terminus is not P.

16. The composition of claim 11, wherein the amino acid at position 7 from the N-terminus is not an amino acid selected from the group consisting of R, K and H.

17. The composition of claim 11, wherein the amino acid at position 8 from the N-terminus is not an amino acid selected from the group consisting of D, E, R, K and H.

18. The composition of claim 11, wherein the amino acid at position 9 from the N-terminus is not an amino acid selected from the group consisting of R, K and H.

19. A pharmaceutical composition comprising a pahramceutically acceptable carrier and a therapeutically effective amount of a peptide capable of binding an HLA-A2.1 moelcule and inducing an immune response in a mammal.

20. The pharmaceutical composition of claim 19, wherein the peptide has a formula as follows: TLGIVCPI.

21. The pharamceutical composition of claim 19, further comprising a peptide having a formula as follows: YMLDLQPETT.

22. The pharmaceutical composition of claim 19, further comprising a T helper peptide.

23. The pharmaceutical composition of claim 22, wherein the T helper peptide has a formula as follows: aKXVAAWTLKAAa, wherein a is D-alanine and X is cyclohexylalanine.