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Protein folding in hydrophobic-polar lattice model: a flexible ant-colony optimization approach
Xiao-Min Hu1, Jun Zhang, Jing Xiao
1Department of Computer Science, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Abstract:
This paper proposes a flexible ant colony (FAC) algorithm for solving protein folding problems based on the hydrophobic-polar square lattice model. Collaborations of novel pheromone and heuristic strategies in the proposed algorithm make it more effective in predicting structures of proteins compared with other state-of-the-art algorithms.
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