期刊文献+

基于并行群体模拟退火算法的蛋白质折叠研究

Protein Folding Study Based on Parallel Group Annealing Algorithms
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摘要 蛋白质折叠研究对于揭示蛋白结构和功能关系,进而了解相关疾病的致病机理意义重大。蛋白质折叠已被证明是NP-完全问题。本文针对蛋白质折叠研究中的能量最小化问题,提出了一种新的并行群体模拟退火算法(Parallel Group Simulated Annealing,PGSA)及其改进型算法(PGSA_1/K)。该算法使用了降温因子加速收敛精度,并采用MPI消息传递并行编程技术加快蛋白质结构空间搜索以及能量最小化寻找速度。以Met_Enkephalin蛋白为对象的计算机模拟仿真结果表明,我们提出的算法及其改进型有很好的扩展性,可以高效搜索蛋白结构空间,从而找到相关蛋白的最小能量结构。 Protein folding study plays a significant role in revealing the relationship between protein structure and function, and in understanding the pathogenesis of the related diseases. Protein folding has been shown to be a NP-complete problem. We propose a new parallel group simulated annealing algorithm (PGSA) and its variant (PGSA_I / K) to find the minimum energy structure for proteins. The algorithms use thecooling factor to improve the convergence accuracy, and employ the message passing interface (MPI) technique to accelerate the search speed of minimum energy and its configurations. The simulation results of Met_ Enkephalin protein showed that our proposed algorithm and its modification have good robustness and can reduce the search space efficiently.
出处 《科研信息化技术与应用》 2013年第5期26-34,共9页 E-science Technology & Application
基金 国家自然科学基金(61175123 61170172 60873144 61073102 60973050) 深圳市科技创新委员会项目(JCYJ20120615140912201)
关键词 蛋白质折叠 消息传递编程模型 并行群体模拟退火算法 降温因子 protein folding message passing interface (MPI) parallel group simulated annealing algorithm cooling factor
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参考文献25

  • 1Andrew R. Leach. Molecular modelling: principles and applications[M]. Pearson College Division, 2001.
  • 2Ramachandran K I, Deepa G, Namboori K. Computational chemistry and molecular modeling: principles and applications[M]. Springer, 2008.
  • 3Schlick T. Molecular modeling and simulation: an interdisciplinary guide[M]. Springer, 2010.
  • 4Anfinsen C B, E. Haber, Sela M, et al. The kinetics of formation of native ribonuclease during oxidation of the reduced polypeptide chain[J]. Proceedings of the National Academy of Sciences of the United States of America, 1961, 47(9): 1309.
  • 5Anfinsen C B. Principles that govern the protein folding chains[J]. Science, 1973, 181: 233-230.
  • 6Crescenzi P, Goldman D, Papadimitriou C, et al. On the complexity of protein folding[J]. Journal of computational biology, 1998, 5(3): 423-465.
  • 7殷志祥.蛋白质结构预测方法的研究进展[J].计算机工程与应用,2004,40(20):54-57. 被引量:20
  • 8Levitt M, Warshel A. Computer simulation of protein folding[J]. Nature, 1975, 253(5494): 694.
  • 9Unger R, Moult J. Genetic algorithms for protein folding simulations [J]. Journal of molecular biology, 1993, 231 (1): 75-81.
  • 10Pedersen J T, Moult J. Genetic algorithms for protein structure prediction[J]. Current Opinion in Structural Biology, 1996, 6(2): 227-231.

二级参考文献20

  • 1http:∥www.ornl.gov/TechResources/Human_Genome/home.html
  • 2Woychik R P,Klebig M L,Justice M J et al. Functional genomics in the Post-genome era[J].Mul RES, 1998;400(1-2):3~14
  • 3Anfinsen C B,Haber E,Sela M et al.The kinetics of formation of native Ribonuclease during oxidation of the reduced polypeptide chain [J].Proc Natl Acad Sci USA,1961 ;47:1309~1314
  • 4Levitt M,Chothia C.Structural patterns in globular proteins[J].Nature,1976; 261: 552~557
  • 5Nakashim a H et al.The folding type of a protein in relevant to the aminoacid composition[J].Biochem, 1986;99:157~162
  • 6Chou P Y.Prodiction of protein structural classes from aminoacid composition Prpdiction of protein structure and the principles of protein conformation[M].New York: plenum press, 1989: 549~586
  • 7Anfinsen C B.Priciples that govern the folding of Protein chains [J].Science, 1979;181:223~230
  • 8Chen Lu Tson. Folding of the nascent peptide chain during biosynthesis[C].In:Bunn ods. Recent Adv In Biochem,Proceeding of the 5th FAOB Congress,seoul, 1989
  • 9Gatenby A A.Protein folding and chaperones[J].Plant Mol Biol,1992;19: 677~687
  • 10Luo L F.The time scale of Protein folding simple model of chaperones[J].Acta SNUN, 1994;25:52~56

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