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International Parallel and Distributed Processing Symposium (IPDPS'03)
Protein Structure Prediction by Applying an Evolutionary Algorithm
Nice, France
April 22-April 26
ISBN: 0-7695-1926-1
Richard O. Day, Air Force Institute of Technology
Gary B. Lamont, Air Force Institute of Technology
Ruth Pachter, Air Force Research Laboratory
Interest in protein structure prediction is wide-spread, and has been previously addressed using evolutionary algorithms. In this study we report results of a modified fmGA, which is found to be good at finding semi-optimal solutions in reasonable time. Our study focuses on tuning this fmGA in an attempt to improve the effectiveness and efficiency of the algorithm in solving a protein structure and in finding better ways to identify secondary structures. Problem definition, protein model representation, mapping to algorithm domain, tool selection modifications and conducted experiments are discussed
Citation:
Richard O. Day, Gary B. Lamont, Ruth Pachter, "Protein Structure Prediction by Applying an Evolutionary Algorithm," ipdps, pp.155a, International Parallel and Distributed Processing Symposium (IPDPS'03), 2003
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