• DocumentCode
    2523464
  • Title

    SYSTEMATIC DESCRIPTION OF SUBCELLULAR LOCATION FOR INTEGRATION WITH PROTEOMICS DATABASES AND SYSTEMS BIOLOGY MODELING

  • Author

    Murphy, R.F.

  • Author_Institution
    Dept. of Biol. Sci., Biomed. Eng., & Machine Learning, Carnegie Mellon Univ., Pittsburgh, PA
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    1052
  • Lastpage
    1055
  • Abstract
    Approaches for automatically analyzing subcellular location on a proteome-wide basis have been developed. This permits proteins to be grouped into subcellular location families that share a statistically-indistinguishable pattern. This in turn creates a need for methods to connect these automatically determined locations to existing information in literature and databases, and to communicate the nature of the pattern for each family. The building of generative models is proposed to meet this need and their utility for simulations of cell behavior is discussed.
  • Keywords
    biology computing; cellular biophysics; molecular biophysics; proteins; generative models; proteins; proteomics; subcellular location; systems biology modeling; Bioinformatics; Biological system modeling; Databases; Fluorescence; Genomics; Microscopy; Proteins; Proteomics; Systematics; Systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.357036
  • Filename
    4193470