A Quasi-human Growth Algorithm for the Protein Folding Problem

DOI

10.2991/iccasm.2012.282How to use a DOI?

Keywords

HP lattice model, heuristic, quasi-human, stochastic growth algorithm, external potential

Abstract

Inspired by the Chinese game “Weiqi”, this paper proposes a Quasi-Human stochastic Growth Algorithm (QHGA) for the Simple Cubic Hydrophobic Polar (SC-HP) lattice model of the protein folding problem. Two concepts from the “Weiqi”, the actual gain and the external potential, are used to evaluate different partial conformation. Experiments on several HP test sequences show the high performance of this new algorithm.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wen-Qi Huang
AU  - Zheng-Da Xiong
AU  - Kun He
AU  - Ru-Chu Xu
PY  - 2012/08
DA  - 2012/08
TI  - A Quasi-human Growth Algorithm for the Protein Folding Problem
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1109
EP  - 1112
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.282
DO  - 10.2991/iccasm.2012.282
ID  - Huang2012/08
ER  -