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

Xiao-min      Hu; Jun      Zhang; Jing      Xiao; Yun      Li

doi:10.2174/092986608784567465

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.

Keywords: Ant colony optimization, protein folding, hydrophobic-polar (HP) model, protein structure prediction

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Protein & Peptide Letters

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

Volume: 15 Issue: 5

Author(s): Xiao-min Hu, Jun Zhang, Jing Xiao and Yun Li

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Keywords: Ant colony optimization, protein folding, hydrophobic-polar (HP) model, protein structure prediction

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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Hu Xiao-min, Zhang Jun, Xiao Jing and Li Yun, Protein Folding in Hydrophobic-Polar Lattice Model: A Flexible Ant-Colony Optimization Approach, Protein & Peptide Letters 2008; 15 (5) . https://dx.doi.org/10.2174/092986608784567465