Protein Engineering via Combinatorial Fragment Pairing

Information

  • Research Project
  • 6736483
  • ApplicationId
    6736483
  • Core Project Number
    R43GM070052
  • Full Project Number
    1R43GM070052-01
  • Serial Number
    70052
  • FOA Number
  • Sub Project Id
  • Project Start Date
    3/1/2004 - 21 years ago
  • Project End Date
    2/28/2006 - 19 years ago
  • Program Officer Name
    SWAIN, AMY L
  • Budget Start Date
    3/1/2004 - 21 years ago
  • Budget End Date
    2/28/2006 - 19 years ago
  • Fiscal Year
    2004
  • Support Year
    1
  • Suffix
  • Award Notice Date
    12/15/2003 - 21 years ago
Organizations

Protein Engineering via Combinatorial Fragment Pairing

[unreadable] DESCRIPTION (provided by applicant): Custom biocatalyst design for use in synthetic chemistry is a very hotly pursued area of biotechnological research. Not only are enzymes attractive because they achieve remarkable rate enhancements with little or no requirement for energy input, but they also avoid the toxic waste problem associated with most conventional catalysts. Furthermore, the precision with which enzymes act, both in terms of regio- and stereo-specificity, is of substantial interest to pharmaceutical and fine-chemical manufactures. Progress in directed evolution approaches to custom biocatalyst design has been brisk, especially in the past five years. However, many potentially very useful alterations to enzyme function are inaccessible because no effective technology exists for reshaping gross features of the active site. Current directed evolution methodologies excel in the specificity (i.e. focusing selective pressure precisely on the sought functionality) with which they search regions of sequence space proximal to the starting structure, but to make substantial changes to binding pocket geometry it is necessary to first sample a vast area of sequence space in the hope of identifying reasonable starting points for optimization. Success in this crucial first step is dependent upon two factors: library size and threshold of selection. The proposed technology utilizes an innovative combinatorial approach, based on pairing of complementary protein fragments, to access libraries of unprecedented size with an extremely low threshold for affinity selection. Furthermore, the proposed methodology obviates ligand immobilization and thus is fully compatible with in vitro evolution of the active site lids so often found to be critical for natural enzyme proficiency. [unreadable] [unreadable]

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    114303
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    821
  • Ed Inst. Type
  • Funding ICs
    NIGMS:114303\
  • Funding Mechanism
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    NOVAPRO, INC.
  • Organization Department
  • Organization DUNS
    116748646
  • Organization City
    MELBOURNE
  • Organization State
    FL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    329348536
  • Organization District
    UNITED STATES