NEW METHOD FOR QSAR FOR BIOPHARMACEUTICAL PRODUCTS

Information

  • Research Project
  • 2024603
  • ApplicationId
    2024603
  • Core Project Number
    R43GM056061
  • Full Project Number
    1R43GM056061-01
  • Serial Number
    56061
  • FOA Number
  • Sub Project Id
  • Project Start Date
    8/1/1997 - 27 years ago
  • Project End Date
    5/31/1998 - 26 years ago
  • Program Officer Name
  • Budget Start Date
    8/1/1997 - 27 years ago
  • Budget End Date
    5/31/1998 - 26 years ago
  • Fiscal Year
    1997
  • Support Year
    1
  • Suffix
  • Award Notice Date
    4/8/1997 - 27 years ago
Organizations

NEW METHOD FOR QSAR FOR BIOPHARMACEUTICAL PRODUCTS

This innovation is aimed at providing a new methodology for quantitative structure-activity relationships (QSAR) analysis of biopharmaceutical agents. Analysis of quantitative structure-activity relationships is fundamentally important for rational drug design. While QSAR analysis is widely used for common dugs, it is virtually non-existent for various technical reason for biologically active therapeutic agents. ANALIZA is proposing to develop and validate a new methodology for quantitatie measurements of hydrophobic properties useful for QSAR of biopharmaceuticals, such as peptides, proteins, oligonucleotides, etc. The proposed methodology is unique ( in regard to the type of information obtained), quantitative and universal ( in that may be used for comparison of compounds of completely different chemical nature and structure), inexpensive and easy to perform (and thus a viable and cost effective alternative to current structure optimization techniques). Phase I portion of this SBIR program is designed to validate the feasibility of he proposed methodology via a direct demonstration of a QSAR analysis as applied to a series of structurally different peptides and proteins with varied biological activities as provided by biopharmaceutical partners. PROPOSED COMMERCIAL APPLICATION: A new methodology for application of quantitative structure-activity relationship (QSAR) analysis to biological therapeutic agents would improve rational design of chemical modifications beneficial for manufacturing of biological therapeutic agents with improved efficacy, safety, and stability. It should thus provide a new powerful tool for timely advancements in the rapidly growing field of biopharmaceuticals.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    821
  • Ed Inst. Type
  • Funding ICs
  • Funding Mechanism
  • Study Section
    ZRG3
  • Study Section Name
  • Organization Name
    ANALIZA, INC.
  • Organization Department
  • Organization DUNS
  • Organization City
    Cleveland
  • Organization State
    OH
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    44114
  • Organization District
    UNITED STATES