METHODS TO PREDICT PROTEIN BINDING SITES

Award Information

Agency: Department of Health and Human Services	Branch: N/A	Award ID: 13822	Program Year/Program: 1990 / SBIR
Agency Tracking Number: 13822	Solicitation Year: N/A	Solicitation Topic Code: N/A	Solicitation Number: N/A

Small Business Information: Molecular Insights
10463 Austin Dr #k Spring Valley, CA 92078
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Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No

Phase 1: Fiscal Year: 1990

Title: METHODS TO PREDICT PROTEIN BINDING SITES

Agency: HHS

Contract: N/A

Award Amount: $44,755.00

Abstract:
THIS RESEARCH ADDRESSES ONE OF THE MOST IMPORTANT PROBLEMS IN PROTEIN CHEMISTRY, THAT OF PREDICTING BINDING SITES ON THE SURFACES OF BILOGICALLY SIGNIFICANT PROTEINS. THE LONG-TERM GOAL OF THIS WORK IS TO USE THE ABILITY TO IDENTIFY BINDING SITES FROM STRUCTURAL INFORMATION ALONE TO DESIGN NEW PHARMACEUTICAL MOLECULES WITH IMPROVED PROPERTIES. SPECIFICALLY, THE OBJECTIVES OF THIS PROJECT ARE TO DEVELOP STATISTICAL ANALYSES OF THE ENVIRONMENTS OF AMINO ACIDS ON PROTEIN SURFACES, TO IDENTIFY AND QUANTITATE SURFACE ABNORMALITIES, AND TO CORRELATE THESE WITH EXPERIMENTALLY DETERMINED BINDING SITES. IF SUCCESSFUL, THIS WILL REPRESENT THE FIRST COMPREHENSIVE METHOD TO PREDICT BINDING SITES USING ONLY THE THREE-DIMENSIONAL STRUCTURE OF A PROTEIN. FOLLOW-ON RESEARCH WILL USE THESE METHODS AND APPROACHES IN COLLABORATIONS WITH ESTABLISHED PHARMACEUTICAL COMPANIES TO DESIGN NEW PROTEIN AND PEPTIDE DRUGS WITH IMPROVED SPECIFICITES, STABILITIES, AND IMMUNOLOGICAL PROPERTIES.

Principal Investigator:
Terence K Brunck
6196609035

Business Contact:

Small Business Information at Submission:

Molecular Insights
10463 Austin Dr #k Spring Valley, CA 92078

EIN/Tax ID:

DUNS: N/A

Number of Employees: N/A

Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No