期刊文献+

动态-静态混合的时序蛋白质网络构建方法 被引量:3

A method of constructing temporal protein networks by hybridizing dynamic and static proteins
下载PDF
导出
摘要 目前已公开的蛋白质网络多为静态网络,不能有效描述细胞中蛋白质的动态活动特点.通过融合基因表达数据,研究人员可以构建出描述蛋白质动态性的时序蛋白质网络.现有方法假设所有蛋白质都是动态变化的,而事实上除动态蛋白质外细胞中还包含相对稳定的静态蛋白质.为此,提出了一种基于动态-静态蛋白质混合的时序网络构建新方法.该方法根据基因表达变化情况将蛋白质分为动态和静态两类,并在构建各时刻网络时考虑动态与静态蛋白质之间的相互作用关系.实验结果表明,利用本文方法构建的时序蛋白质网络可以提高蛋白质复合体识别的准确性,从而验证了本文方法的可行性. Public available protein networks at present are static,which could not be used to describe the dynamic characteristics of proteins in a cell effectively. It is necessary to construct temporal protein network by integrating other biological data,which reflects the dynamic activities of proteins. Most of previous methods assume that all proteins are dynamic. However,in addition to dynamic protein,there are many static proteins in the cell. To this end,this paper proposes a new method to construct a temporal protein network both with dynamic and static proteins. In the method,proteins are classified into two types of dynamic and static,and then a protein network is constructed on each time point by both considering the interactions of dynamic and static proteins. Experimental test results show that the temporal protein network constructed by using the proposed method can improve the accuracy of the identification of protein complexes,which verified the reliability of the proposed method.
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2016年第11期41-46,共6页 Journal of Harbin Institute of Technology
基金 国家自然科学基金(91335112 61571163 61532014 61402132 61271346) 中央高校基本科研业务费专项资金(DC201501030)
关键词 时序蛋白质网络 蛋白质相互作用 基因表达 生物网络 蛋白质复合体识别 temporal protein network protein interaction gene expression biological network protein complex identification
  • 相关文献

参考文献5

二级参考文献120

  • 1解(亻刍),汪小帆.复杂网络中的社团结构分析算法研究综述[J].复杂系统与复杂性科学,2005,2(3):1-12. 被引量:86
  • 2王蕴红,范伟,谭铁牛.融合全局与局部特征的子空间人脸识别算法[J].计算机学报,2005,28(10):1657-1663. 被引量:41
  • 3Jeong H, Mason S P, Barabasi A L, Oltvai Z N. Lethality and centrality in protein networks. Nature, 2001, 411(6833): 41-42
  • 4Winzeler E A, Shoemaker D D, Astromoff A, Liang H, Anderson K, Andre B. Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis. Science, 1999, 285(5429): 901-906
  • 5SiegalM L, Promislow D E, Bergman A. Functional and evolutionary inference in gene networks: does topology matter? Genetica, 2007, 129(1): 83-103
  • 6Parrish J R, Yu J, Liu G, Hines J A, Chart J E, Mangiola B A. A proteome-wide protein interaction map for campylobacter jejuni. Genome Biology, 2007, 8(7): 1-19
  • 7Luo F, Yang Y F, Chen C F, Chang R, Zhou J Z, Scheuermann R H. Modular organization of protein interaction networks. Bioinformatics, 2007, 23(2): 207-214
  • 8Yook S H, Oltvai Z N, Barabasi A L. Functional and topological characterization of protein interaction networks. Proteomics, 2004, 4(4): 928-942
  • 9Estrada E. Virtual identification of essential proteins within the protein interaction network of yeast. Proteomics, 2005, 6(1): 35-40
  • 10Said M R, Begley T J, Oppenheim A V, Lauffenburger D A, Samson L D. Global network analysis of phenotypic effects: protein networks and toxicity modulation in saccharomyces cerevisiae. Proceedings of the National Academy of Sciences of the United States of America, 2004, 101(52): 18006-18011

共引文献40

同被引文献8

引证文献3

二级引证文献6

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