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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