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A Novel and Efficient Ant Colony Optimization Algorithm for Protein 3D Structure Prediction

Do, Duc Dong (2017) A Novel and Efficient Ant Colony Optimization Algorithm for Protein 3D Structure Prediction. Technical Report. VNU-UET Technical Report.

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Abstract

Protein structure prediction (PSP) is considered as one of the most long-standing and challenging problem in bioinformatic. In this paper, we present an efficient ant colony optimization algorithm to predict the protein structure on three-dimensional face-centered cubic lattice coordinates, using hydrophobic-polar (HP) model and MiyazawaJernigan (MJ) model to calculate the free energy. The reinforcement learning information is expressed in the k-order Markov model, the heuristic information is determined based on the increase of the total energy. On a set of benchmark proteins, the results show a remarkable efficiency of our algorithm by comparing with the state-of-the-art algorithms.

Item Type: Technical Report (Technical Report)
Subjects: Information Technology (IT)
Divisions: Faculty of Information Technology (FIT)
Depositing User: A/Prof. Xuan Hieu Phan
Date Deposited: 29 Dec 2017 08:56
Last Modified: 10 Jan 2018 08:59
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2894

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