DISCOVERY OF INHIBITORS OF DRUG RESISTANT HIV PROTEASES

Information

  • Research Project
  • 2672600
  • ApplicationId
    2672600
  • Core Project Number
    R44AI038643
  • Full Project Number
    5R44AI038643-03
  • Serial Number
    38643
  • FOA Number
  • Sub Project Id
  • Project Start Date
    9/1/1995 - 29 years ago
  • Project End Date
    8/31/1999 - 25 years ago
  • Program Officer Name
  • Budget Start Date
    9/1/1998 - 26 years ago
  • Budget End Date
    8/31/1999 - 25 years ago
  • Fiscal Year
    1998
  • Support Year
    3
  • Suffix
  • Award Notice Date
    9/21/1998 - 26 years ago
Organizations

DISCOVERY OF INHIBITORS OF DRUG RESISTANT HIV PROTEASES

We describe the development and coordinated application of molecular biology, combinatorial chemistry and computational science for the development of anti HI-PR inhibitors specifically designed against drug resistant proteases. We demonstrate a unique microbial expression assay that identifies resistance conferring mutations with a striking correspondence to clinically relevant mutations. This assay for resistance has the advantages over mammalian cell culture of speed, reproducibility, exquisite sensitivity and inclusiveness. The expression assay system is also ideal for comparing inhibitors for efficacy against both native and variant proteases and for identifying single inhibitors or combinations for which resistance conferring substitutions occur infrequently. We propose to work in three areas: 1. Synthesis and testing of combinatorial libraries of potential protease inhibitors against native and variant proteases. 2. Computational science and computer modeling for creation of virtual chemical libraries, the modeling of protease variants and the identification of variant inhibitors. 3. Optimization of screening and positive selection techniques for the rapid identification of protease variants and their inhibitors. PROPOSED COMMERCIAL APPLICATION: Discovery of lead compounds for HIV protease therapeutic combinations against resistance. 2. Develop software for predicting changes in proteins that give rise to resistant variants.

IC Name
NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES
  • Activity
    R44
  • Administering IC
    AI
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    856
  • Ed Inst. Type
  • Funding ICs
  • Funding Mechanism
  • Study Section
    ZRG3
  • Study Section Name
  • Organization Name
    SEPRACOR, INC.
  • Organization Department
  • Organization DUNS
  • Organization City
    MARLBOROUGH
  • Organization State
    MA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    01752
  • Organization District
    UNITED STATES