• DocumentCode
    3410151
  • Title

    Functional modules from protein networks of kinome and cell cycle in Saccharomyces cerevisiae

  • Author

    Kang, Hee Young ; Kim, Hak Yong

  • Author_Institution
    Div. of Life Sci., Chung-Buk Nat. Univ., Cheongju, South Korea
  • fYear
    2004
  • fDate
    16-19 Aug. 2004
  • Firstpage
    321
  • Lastpage
    322
  • Abstract
    We have constructed protein networks of kinome and cell cycle from MIPS database. The networks show character of scale free network, in which a few highly connected proteins play a central role in most cells. Protein-protein interaction database obtained from a yeast two hybrid screen or a composite data set includes random false positives. To purify the database, we employed cellular localization and DNA expression profile and then reconstructed kinome and cell cycle networks. The kinome and cell cycle networks constructed from the purified database show characters of scale free network and hierarchical network, in which preserves it´s scale-free organization and displays inherent modularity of protein clusters. To find functional modules from the network, we propose a new technique that is based on multi-body correlations in kinome or cell cycle network. From the derived modules, we predicted and estimated tentative functions for unannotated proteins with high certainty.
  • Keywords
    biology computing; cellular biophysics; molecular biophysics; proteins; DNA expression profile; MIPS database; Saccharomyces cerevisiae; cell cycle; cellular localization; composite data set; functional modules; hierarchical network; kinome; multibody correlations; protein clusters; protein networks; protein-protein interaction database; purified database; random false positives; scale free network; scale-free organization; two hybrid screen; unannotated proteins; yeast; Bioinformatics; Cellular networks; DNA; Databases; Displays; Educational institutions; Fungi; Genomics; Intelligent networks; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE
  • Print_ISBN
    0-7695-2194-0
  • Type

    conf

  • DOI
    10.1109/CSB.2004.1332519
  • Filename
    1332519