Chang Wang and Stephen Scott. New Kernels for Protein Structural Motif Discovery and Function Classification. In Proceedings of the Twenty-Second International Conference on Machine Learning, pages 945–952. Bonn, Germany, August 2005.
Abstract
paper (203Kb PDF)
slides (449Kb PDF)

Abstract

We present new, general-purpose kernels for protein structure analysis, and describe how to apply them to structural motif discovery and function classification. Experiments show that our new methods are faster than conventional techniques, are capable of finding structural motifs, and are very effective in function classification. In addition to strong cross-validation results, we found possible new oxidoreductases and cytochrome P450 reductases and a possible new structural motif in cytochrome P450 reductases.

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Last modified 31 May 2005.