• DocumentCode
    2370145
  • Title

    Computational testing of protein-protein interactions

  • Author

    Katebi, Ataur R. ; Kloczkowski, Andrzej ; Jeringan, R.L.

  • Author_Institution
    L.H. Baker Center for Bioinf. & Biol. Stat., Iowa State Univ., Ames, IA, USA
  • fYear
    2009
  • fDate
    1-4 Nov. 2009
  • Firstpage
    144
  • Lastpage
    151
  • Abstract
    Abundant protein interaction data are currently available. These interaction networks are important sources of information about how biological systems function. In the present work the yeast protein interaction network is clustered and the individual clusters are investigated for functional relationships among the member proteins. 3D structural models of the proteins in a cluster have been built. We investigate the docking of proteins within the cluster, verifying reported and predicting some unreported interactions.
  • Keywords
    biology computing; data handling; molecular biophysics; proteins; abundant protein interaction data; biological systems function; computational testing; protein-protein interactions; yeast protein interaction network; Bioinformatics; Biology computing; Clustering methods; Data mining; Fungi; Information resources; Matrix decomposition; Proteins; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-5121-0
  • Type

    conf

  • DOI
    10.1109/BIBMW.2009.5332118
  • Filename
    5332118