ARTIFICIAL INTELLIGENCE SYSTEM FOR ANALYSIS OF PROTEINS

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: N/A
Agency Tracking Number: 11280
Amount: $500,000.00
Phase: Phase II
Program: SBIR
Awards Year: 1990
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
Dnastar Inc.
1228 S Park St, Madison, WI, 53715
Duns: N/A
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 () -
Business Contact
Phone: () -
Research Institution
N/A
Abstract
LARGE-SCALE DNA SEQUENCE EFFORTS HAVE RESULTED IN KNOWLEDGE OF THE AMINO ACID SEQUENCES OF A LARGE NUMBER OF PROTEINS, MANY OF WHICH HAVE NO KNOWN FUNCTION. BECAUSE X-RAY CRYSTALLOGRAPHY AND OTHER PHYSICAL AND BIOCHEMICAL METHODS FOR CHARACTERIZING PROTEINS ARE LABORIOUS AND SLOW, THERE IS GREAT INTEREST IN THE USE OF COMPUTERS TO HELP DETERMINE STRUCTURAL CORRELATES OF FUNCTION AND TO ASCERTAIN RELATIONSHIPS BETWEEN KNOWN PROTEINS AND UNKNOWN ONES. RECENT PROGRESS HAS BEEN MADE BY THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES, RESULTING IN A PROTEIN ANALYSIS SYSTEM KNOWN AS ARIADNE. THIS RESEARCH WILL EXPLORE THE FEASIBILITY OF IMPLEMENTING ARIADNE IN A FORM THAT CAN BE USED BY INDIVIDUAL LABORATORIES AND SCIENTISTS ON PERSONAL COMPUTERS OR WORKSTATIONS. IT IS PLANNED TO IMPLEMENT ARIADNE ON A PERSONAL COMPUTER, PROVIDE IT WITH A USER-FRIENDLY INTERFACE AND SEAMLESS ACCESS TO MOLECULAR DATABASES, AND EVALUATE ITS PERFORMANCE.

* information listed above is at the time of submission.

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