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