GP challenge: evolving energy function for protein structure prediction
Genetic Programming and Evolvable Machines
An enhanced genetic algorithm for protein structure prediction using the 2d hydrophobic-polar model
EA'05 Proceedings of the 7th international conference on Artificial Evolution
Applied Bionics and Biomechanics
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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 insolving 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