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Protein structure prediction on a lattice model via multimodal optimization techniques
Author(s)
Date Issued
2010
Publisher
Association for Computing Machinery (ACM)
ISBN
978-145030072-8
Citation
Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, 2010, GECCO '10, pp. 15 - 22
Type
Conference Paper
Abstract
This paper considers the protein structure prediction problem as a multimodal optimization problem. In particular, de novo protein structure prediction problems on the 3D Hydrophobic-Polar (HP) lattice model are tackled by evolutionary algorithms using multimodal optimization techniques. In addition, a new mutation approach and performance metric are proposed for the problem. The experimental results indicate that the proposed algorithms are more effective than the state-of-the-arts algorithms, even though they are simple. Copyright 2010 ACM.
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