Protein Folding in Hydrophobic-Polar Lattice Model: A Flexible Ant-Colony Optimization Approach

摘要

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.