relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2894/
title: A Novel and Efficient Ant Colony Optimization Algorithm for Protein 3D Structure Prediction
creator: Do, Duc Dong
subject: Information Technology (IT)
description: 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.
publisher: VNU-UET Technical Report
date: 2017
type: Technical Report
type: NonPeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2894/1/TR2017-FIT-002.pdf
identifier:   Do, Duc Dong  (2017) A Novel and Efficient Ant Colony Optimization Algorithm for Protein 3D Structure Prediction.  Technical Report. VNU-UET Technical Report.     
relation: TR2017-FIT-002