relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2948/
title: An Efficient Ant Colony Optimization Algorithm for Protein Structure Prediction
creator: Do, Duc Dong
creator: Thai Dinh, Phuc
creator: Vu, Thi Ngoc Anh
creator: Nguyen, Linh Trung
subject: Electronics and Communications
subject: Information Technology (IT)
description: Protein structure prediction is considered as one of the most long-standing and challenging problem in bioinformatics. 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 the hydrophobic–polar model and the Miyazawa-Jernigan model to calculate the free energy. The reinforcement learning information is expressed in the k-order Markov model, and 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 in comparison with several state-of-the-art algorithms.
date: 2018-03-26
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2948/1/p28-do_duc.pdf
identifier:   Do, Duc Dong and Thai Dinh, Phuc and Vu, Thi Ngoc Anh and Nguyen, Linh Trung  (2018) An Efficient Ant Colony Optimization Algorithm for Protein Structure Prediction.  In: 12th International Symposium on Medical Information and Communication Technology (ISMICT), March 26-28, Sydney, Australia.     
relation: http://www.ismict2018.org