DEFINING GENE FUNCTION BY PROTEIN-PROTEIN INTERACTIONS

Information

  • Research Project
  • 6536460
  • ApplicationId
    6536460
  • Core Project Number
    R01HG001438
  • Full Project Number
    5R01HG001438-07
  • Serial Number
    1438
  • FOA Number
  • Sub Project Id
  • Project Start Date
    8/20/1996 - 28 years ago
  • Project End Date
    3/31/2004 - 20 years ago
  • Program Officer Name
    FEINGOLD, ELISE A
  • Budget Start Date
    7/26/2002 - 22 years ago
  • Budget End Date
    3/31/2004 - 20 years ago
  • Fiscal Year
    2002
  • Support Year
    7
  • Suffix
  • Award Notice Date
    7/22/2002 - 22 years ago

DEFINING GENE FUNCTION BY PROTEIN-PROTEIN INTERACTIONS

DESCRIPTION (Adapted from the Investigator's Abstract): This is an amended version of a grant to further develop two-hybrid technology and to integrate two hybrid data with other information necessary for its interpretation. The PI proposes three specific aims during the next five years (from the proposal): 1) Continue development of the protein interaction database (Interaction). They will continue to enter data from their own experiments and other public sources. They will develop a satellite database for data input by others without curation on their part. They will disseminate the database and the computational tools, including search programs, data input/output tools, and programs to conjoin interaction data with other genomic data, as these are developed. 2) Continue to amass potential interacting proteins and test their interactions. To gain a measure of the ability to predict protein interactions, they will focus on interaction among proteins from C. elegans followed by D. melanogaster that contain identifiable conserved supersecondary structures. They will construct new bait and prey plasmids that display representative substructure, add them to their existing collection, and test the entire collection for interactions by interaction mating. They will work with a number of structural biology laboratories to identify additional subdomains from proteins encoded by these organisms and test their interactions. 3) Develop computational methods to use interactions in concert with other data types. They will first devise methods to join interaction data with sequence data, then with gene expression data obtained from microarrays beta-test these tools by applying them in the context of a translational biomedical research center.

IC Name
NATIONAL HUMAN GENOME RESEARCH INSTITUTE
  • Activity
    R01
  • Administering IC
    HG
  • Application Type
    5
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    556400
  • Sub Project Total Cost
  • ARRA Funded
  • CFDA Code
    172
  • Ed Inst. Type
  • Funding ICs
    NHGRI:556400\
  • Funding Mechanism
  • Study Section
    GNM
  • Study Section Name
    Genome Study Section
  • Organization Name
    MOLECULAR SCIENCES INSTITUTE
  • Organization Department
  • Organization DUNS
    941716045
  • Organization City
    BERKELEY
  • Organization State
    CA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    94704
  • Organization District
    UNITED STATES