Discrimination of protein thermostability based on a new integrated neural network

Authors:
Jingru Xu;Yuehui Chen
Affiliations:
Computational Intelligence Lab, School of Information Science and Engineering, University of Jinan, Jinan, P.R. China;Computational Intelligence Lab, School of Information Science and Engineering, University of Jinan, Jinan, P.R. China
Venue:
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Year:
2011

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Abstract

The research of protein thermostability has been vigorously studied in the field of biophysical and biological technology. What is more, protein thermostability in the level of amino acid sequence is still a challenge in the research of the protein pattern recognition. In this paper, we try to use new integrated feedforward artificial neural network which was optimized by particle swarm optimization (PSO-NN) to recognize the mesophilic and thermophilic proteins. Here, we adopted Genetic Algorithm based Selected Ensemble (GASEN) as our integration methods. A better accuracy was got by GASEN. So, the integrated methods were proved to be effectual.