期刊文献+

基于图的匹配方法预测蛋白质结构中的二硫键 被引量:3

Prediction of disulfide bonding in protein structure based on method of graph matching
下载PDF
导出
摘要 在蛋白质结构预测的研究中,一个重要的问题就是正确预测二硫键的连接,二硫键的准确预测可以减少蛋白质构像的搜索空间,有利于蛋白质的3D结构的预测。论文将一个蛋白质结构中二硫键的预测问题,等价为一个寻找图的最大权的匹配问题。图的顶点表示序列中的半胱氨酸残基,边连接每一顶点,表示一种可能的连接方式,边的权根据一个权值函数赋值,用EJ算法寻找具有最大权的匹配,则这个匹配对应二硫键的正确连接。应用这个方法对蛋白质结构的二硫键进行了预测并取得了良好的结果。 An important problem in protein structure prediction is the correct location of disulfide bonding in proteins.The location of disulfide bonding can strongly reduce the search in the conforrnational space.Therefore the correct prediction of the disulfide bonding starting from the protein residue sequence may also help in predicting its 313 structure.In this paper we equate the problem of predicting the disulfide bonding in proteins to a problem of finding the graph matching with the maximum weight.The graph vertices are the residues of cysteine in the sequence.Edges are then drawn between pairs of vertices.The edges are weight- ed based on a weighted-function.Finding the graph matching with the maximum weight by EJ algorithm and this matching equated the corrected disulfide bonding.This method has being used to predict disulfide bonding in protein structure and a fine result has been got.
出处 《计算机工程与应用》 CSCD 北大核心 2007年第13期30-32,75,共4页 Computer Engineering and Applications
基金 国家自然科学基金(the National Natural Science Foundation of China under Grant No.60274026 No.60403002 No.60373089 No.30370356)。
关键词 蛋白质结构预测 二硫键 匹配 prediction of protein structure disulfide bonding graph matching
  • 相关文献

参考文献17

  • 1Krane D E,Raymer M L.生物信息学概论[M].孙啸,陆祖宏,谢建明,译.北京:清华大学出版社,2004,133-136.
  • 2Anfinsen C B.Principles that govern the folding of protein chains[J].Science, 1973 (181):223-230.
  • 3Muskal S M,Holbrook R S,Kim S H,Prediction of the disulfide-bonding state of cysteine in proteins[J],Protein Eng, 1990(3):667-672.
  • 4Fariselli P,Riccobelli P,Casadio R,Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteins[J].Proteins, 1999 (36) : 340-346.
  • 5彭征宇.蛋白质中的自折叠单元[M]//郝柏林,刘寄星.理论物与生命科学.上海:上海科学技术出版社,1997:35—40.
  • 6Subbarao N,Haneef I.Conformations of cycloheptadecane.a comparison of methods for conformational searching[J].Protein Engineering,1991 (4) :877-886.
  • 7National Research Council.Mathematical Challenges from Theoretical/Computational Chemistry[M].Washington D C:National Academy Press, 1995:23-121,
  • 8Grindley H,Artymiuk P,Rice D,et al.Identification of tertiary structure resemblance in proteins using a maximal common subgraph isomorphism algorithmics[J].J Mol Biol, 1993(229) :707-721.
  • 9Artymiuk P,Poirrette A,Rice D,et al.Comparison of protein folds and sidechain clusters using algorithms from graph theory[C]//Proceedings of the CCP4 Study Weekend.SERC,Daresbury Laboratory Daresbury, 1995 : 6-78.
  • 10Samudrala R,Mouh J.A graph-theoretic algorithm for comparative modeling of protein structure[J].J Mol Biol,1989(279):287-302.

共引文献1

同被引文献17

  • 1张莉,郭军.基于边界样本的训练样本选择方法[J].北京邮电大学学报,2006,29(4):77-80. 被引量:15
  • 2任俊玲.基于广义置信度的样本选择算法[J].中文信息学报,2007,21(3):106-110. 被引量:4
  • 3罗亮,史晓红,许进.LVQ神经网络方法预测蛋白质结构中的二硫键[J].系统仿真学报,2007,19(9):2077-2079. 被引量:5
  • 4WEDEMEYER W J, WELKER E, NARAYAN M, et al, Disulfide bonds and protein folding[J]. Biochemistry,2000,39(23) :4207-4216.
  • 5FISER A, SIMON I. Predicting the oxidation state of cysteines by multiple sequence alignment [ J ]. Bioinformatics,2000,16 (3) :251 - 256.
  • 6MUCCHIELLI-GIORGI M H, HAZOUT S, TUFFERY P. Predicting the disulfide bonding state of cysteines using protein descriptors[ J]. Proteins ,2002,46 ( 3 ) :243-249.
  • 7MARTELLI P L, FARISELLI P, CASADIO R. Prediction of the di-sulfide-bonded cysteines in proteomes with a hidden nerual network [ J]. Proteomics ,2004,4 (6) : 1665-1671.
  • 8VULLO A, FRASCONI P. Disulfide connectivity prediction using re- cursive neural networks and evolutionary information [J]. Bioinfor- matics,2004,20(5 ) :653-659.
  • 9ZHAO E, LIU H L, TSAI C H, et al. Cysteine separations profiles on protein sequences infer disulfide connectivity [ J ]. Bioinforma- ties ,2005,21 ( 8 ) : 1415-1420.
  • 10TSAI C H, CHEN B J, CHAN C H, et al. Improving disulfide con- nectivity prediction with sequential distance between oxidized cysteines[J]. Bioinformatics,2005,21(24) :4416-4419.

引证文献3

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部