• DocumentCode
    478739
  • Title

    Detecting Functional Modules from Protein Interaction Networks

  • Author

    Luo, Feng ; Scheuermann, Richard H.

  • Author_Institution
    Dept. of Comput. Sci., Clemson Univ., SC
  • Volume
    1
  • fYear
    2006
  • fDate
    20-24 June 2006
  • Firstpage
    123
  • Lastpage
    130
  • Abstract
    Accumulating evidence suggests that biological systems are composed of separable functional modules. Identifying these modules is essential in understanding the organization of biological systems. In this paper, we extend the indegree and outdegree concept of vertex to the sub-graph and propose a new formal definition of a module in a network. By combining our new network module definition with an adaptation of the Girvan-Newman algorithm, we propose a new divisive algorithm to detect modules from protein interaction networks. We applied our approach to the DIP yeast core protein interaction network and 81 compact simple modules with size larger than 3 are revealed. All 81 modules are significantly enriched for functional gene ontology terms. Comparison between our compact simple modules with the modules of Radicchi et al. showed that our modules are statistically more significant (lower P-value). Our approach provides a plausible way to identify functional modules within biological networks
  • Keywords
    biology computing; genetics; molecular biophysics; ontologies (artificial intelligence); proteins; Girvan-Newman algorithm; biological system; functional gene ontology term; functional module detection; protein interaction network; Biological systems; Computer networks; Computer science; Electronics packaging; Finance; Fungi; Large-scale systems; Ontologies; Pathology; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
  • Conference_Location
    Hanzhou, Zhejiang
  • Print_ISBN
    0-7695-2581-4
  • Type

    conf

  • DOI
    10.1109/IMSCCS.2006.55
  • Filename
    4673535