Identification of conserved protein complexes by module alignment

被引:5
作者
Sun, Peng Gang [1 ]
Gao, Lin [1 ]
Song, Jia [1 ]
机构
[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
network alignment; module alignment; conserved complexes; functional modules; PPI; protein-protein interaction; REGULATORY NETWORKS; FUNCTIONAL MODULES; YEAST; TOOL;
D O I
10.1504/IJDMB.2011.045412
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Recently, accumulating evidence suggests that biological systems are composed of interacting, separable, functional modules (e.g., protein complexes) - groups of vertices within which connections are dense while between which they are sparse. These functional modules always correspond to well-known protein complexes, which may be evolutionarily conserved across multiple species. Therefore, in this paper, we propose a method based on module alignment, which integrates protein interaction, and sequence information for finding conserved protein complexes. First, our method decomposes Protein-Protein Interaction (PPI) networks into modules by module detection methods, and then identifies conserved complexes by module alignment based on sequence similarity between pairs of proteins from each of the species. We test our method between Saccharomyces cerevisiae and Drosophila melanogaster. The results show that our method gets a higher accuracy for identification of conserved complexes.
引用
收藏
页码:593 / 610
页数:18
相关论文
共 37 条
  • [1] [Anonymous], 2000, A cluster algorithm for graphs, DOI DOI 10.1016/J.COSREV.2007.05.001
  • [2] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [3] An automated method for finding molecular complexes in large protein interaction networks
    Bader, GD
    Hogue, CW
    [J]. BMC BIOINFORMATICS, 2003, 4 (1)
  • [4] Local graph alignment and motif search in biological networks
    Berg, J
    Lässig, M
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (41) : 14689 - 14694
  • [5] Cross-species analysis of biological networks by Bayesian alignment
    Berg, Johannes
    Lassig, Michael
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (29) : 10967 - 10972
  • [6] Evaluation of clustering algorithms for protein-protein interaction networks
    Brohee, Sylvain
    van Helden, Jacques
    [J]. BMC BIOINFORMATICS, 2006, 7 (1)
  • [7] Inferring protein interactions from experimental data by association probabilistic method
    Chen, LN
    Wu, LY
    Wang, Y
    Zhang, XS
    [J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2006, 62 (04) : 833 - 837
  • [8] Dynamics of gene regulatory networks with cell division cycle
    Chen, LN
    Wang, RQ
    Kobayashi, TJ
    Aihara, K
    [J]. PHYSICAL REVIEW E, 2004, 70 (01): : 13
  • [9] Noise-induced cooperative behavior in a multicell system
    Chen, LN
    Wang, RQ
    Zhou, TS
    Aihara, K
    [J]. BIOINFORMATICS, 2005, 21 (11) : 2722 - 2729
  • [10] An efficient algorithm for large-scale detection of protein families
    Enright, AJ
    Van Dongen, S
    Ouzounis, CA
    [J]. NUCLEIC ACIDS RESEARCH, 2002, 30 (07) : 1575 - 1584