CLASSIFICATION OF PROTEIN STRUCTURES

$273,230P41FY2001RRNIH

University Of California San Francisco, San Francisco CA

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Abstract

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.

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