Protein folding in hydrophobic-polar lattice model: a flexible ant-colony optimization approach.
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.
Department of Computer Science, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Xiao-Min
XM
Hu
Jun
J
Zhang
Jing
J
Xiao
Yun
Y
Li
D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry; D019295:Computational Biology / Q000379:methods*; D057927:Hydrophobic and Hydrophilic Interactions; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*
D000596:Amino Acids; D011506:Proteins