Artificial immune system for protein folding model

Yudong Zhang; Shuihua Wang; Lenan Wu; Yuankai Huo

doi:10.4156/jcit.vol6.issue1.7

Artificial immune system for protein folding model

Yudong Zhang, Shuihua Wang, Lenan Wu^*, Yuankai Huo

^*Corresponding author for this work

Southeast University, Nanjing

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

Abstract

To improve protein folding simulations, artificial immune system (AIS) was investigated on a 2D lattice model. AIS is a novel intelligent problem solving technique inspired from vertebrate immune system. Compared with stand genetic algorithm (SGA), AIS contains four new operators such as cloning selection, inverse mutation, pair wise interchange mutation, and receptor editing. In the experiments, we compared AIS with the immune genetic algorithm (IGA) for 4 chains of different lengths of 20, 36, 48, and 64. The results show that AIS has a higher success rate but costs more time.

Original language	English
Pages (from-to)	55-61
Number of pages	7
Journal	Journal of Convergence Information Technology
Volume	6
Issue number	1
DOIs	https://doi.org/10.4156/jcit.vol6.issue1.7
Publication status	Published - Jan 2011
Externally published	Yes

Keywords

Artificial immune system
Immune genetic algorithm
Protein folding model

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10.4156/jcit.vol6.issue1.7

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AU - Wu, Lenan

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AB - To improve protein folding simulations, artificial immune system (AIS) was investigated on a 2D lattice model. AIS is a novel intelligent problem solving technique inspired from vertebrate immune system. Compared with stand genetic algorithm (SGA), AIS contains four new operators such as cloning selection, inverse mutation, pair wise interchange mutation, and receptor editing. In the experiments, we compared AIS with the immune genetic algorithm (IGA) for 4 chains of different lengths of 20, 36, 48, and 64. The results show that AIS has a higher success rate but costs more time.

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KW - Protein folding model

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Artificial immune system for protein folding model

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Keywords

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