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作者:

Xue, Fei (Xue, Fei.) | Cai, Yongquan (Cai, Yongquan.) (学者:蔡永泉) | Cui, Zhihua (Cui, Zhihua.)

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摘要:

The structure prediction of Toy model of protein folding is one challenging problem in Bioinformatics. Up to now, many computational intelligent algorithms have been applied to it. However, due to the amount of local optima, the accuracy is not well. In this paper, one new algorithm, centric bat algorithm is applied to solve this problem, to further improve the performance, a local search strategy, Limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) is also employed. The experimental results show it can predicts the protein folding structure precisely.

关键词:

Algorithms Bioinformatics Nonlinear programming Protein folding Proteins

作者机构:

  • [ 1 ] [Xue, Fei]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Cai, Yongquan]College of Computer Science and Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Cui, Zhihua]Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, China
  • [ 4 ] [Cui, Zhihua]State Key Laboratory for Novel Software Technology, Nanjing University, Jiangsu, China

通讯作者信息:

  • [cui, zhihua]complex system and computational intelligence laboratory, taiyuan university of science and technology, shanxi, china;;[cui, zhihua]state key laboratory for novel software technology, nanjing university, jiangsu, china

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来源 :

Sensor Letters

ISSN: 1546-198X

年份: 2014

期: 9

卷: 12

页码: 1388-1392

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