Protein structure prediction based on particle swarm optimization and tabu search strategy

Author:

Shuchun Yu,Xianxiang Li,Xue Tian,Ming Pang

Abstract

Abstract Background The stability of protein sequence structure plays an important role in the prevention and treatment of diseases. Results In this paper, particle swarm optimization and tabu search are combined to propose a new method for protein structure prediction. The experimental results show that: for four groups of artificial protein sequences with different lengths, this method obtains the lowest potential energy value and stable structure prediction results, and the effect is obviously better than the other two comparison methods. Taking the first group of protein sequences as an example, our method improves the prediction of minimum potential energy by 127% and 7% respectively. Conclusions Therefore, the method proposed in this paper is more suitable for the prediction of protein structural stability.

Funder

Doctor. Scientific and Research Start-up Project of Harbin University of Commerce

National Natural Science Foundation of China

Beijing Social Science Foundation Project

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

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