Hybrid High Exploration Particle Swarm Optimization Algorithm Improves the Prediction of the 2-Dimensional Hydrophobic-Polar Model for Protein Folding-Reference-Cited by-同舟云学术

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Hybrid High Exploration Particle Swarm Optimization Algorithm Improves the Prediction of the 2-Dimensional Hydrophobic-Polar Model for Protein Folding

Published:2018-03-26 Issue:2 Volume:13 Page:182-192
ISSN:1574-8936
Container-title:Current Bioinformatics
language:en
Short-container-title:CBIO

Author:

Yang Cheng-Hong¹,Lin Yu-Shiun¹,Moi Sin-Hua¹,Wu Kuo-Chuan¹,Chuang Li-Yeh²,Chang Hsueh-Wei³

Affiliation:

1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan

2. Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan

3. Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

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