How to classify proteins structures in an objective and unambiguous way is a long-standing problem in protein structure recognitions. We are developing a graph theory approach to give a rigorous parsing of different possible chain folds into conformational taxonomies. Specifically, we are treating secondary structural unit (e.g., a helix) as a vertex on a planar graph. The existing graph theory then gives a rigorous mathematical description of the graph. Such a classification scheme is being used to predict protein structures for given sequences. We use the resources at the Computer Graphics Laboratory to visualize our results.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
3P41RR001081-22S1
Application #
6220326
Study Section
Project Start
1999-07-01
Project End
2000-06-30
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
22
Fiscal Year
1999
Total Cost
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
073133571
City
San Francisco
State
CA
Country
United States
Zip Code
94143
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