Flexible protein folding by ant colony optimization

Hu, X., Zhang, J. and Li, Y. (2008) Flexible protein folding by ant colony optimization. In: Computational Intelligence in Biomedicine and Bioinformatics: Current Trends and Applications. Springer-Verlag: New York, pp. 317-336. ISBN 9783540707769 (doi: 10.1007/978-3-540-70778-3_13)

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Publisher's URL: http://dx.doi.org/10.1007/978-3-540-70778-3_13

Abstract

Protein structure prediction is one of the most challenging topics in bioinformatics. As the protein structure is found to be closely related to its functions, predicting the folding structure of a protein to judge its functions is meaningful to the humanity. This chapter proposes a flexible ant colony (FAC) algorithm for solving protein folding problems (PFPs) based on the hydrophobic-polar (HP) square lattice model. Different from the previous ant algorithms for PFPs, the pheromones in the proposed algorithm are placed on the arcs connecting adjacent squares in the lattice. Such pheromone placement model is similar to the one used in the traveling salesmen problems (TSPs), where pheromones are released on the arcs connecting the cities. Moreover, the collaboration of effective heuristic and pheromone strategies greatly enhances the performance of the algorithm so that the algorithm can achieve good results without local search methods. By testing some benchmark two-dimensional hydrophobic-polar (2D-HP) protein sequences, the performance shows that the proposed algorithm is quite competitive compared with some other well-known methods for solving the same protein folding problems.

Item Type:Book Sections
Additional Information:The original publication is available at www.springerlink.com
Status:Published
Glasgow Author(s) Enlighten ID:Li, Professor Yun and Zhang, Dr Yuan
Authors: Hu, X., Zhang, J., and Li, Y.
Subjects:T Technology > T Technology (General)
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Research Group:Intelligent Systems
Publisher:Springer-Verlag
ISBN:9783540707769
Copyright Holders:Copyright © 2008 Springer
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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