• DocumentCode
    951200
  • Title

    Network integration and graph analysis in mammalian molecular systems biology

  • Author

    Ma´ayan, A.

  • Author_Institution
    Dept. of Pharmacology & Syst. Therapeutics, Mount Sinai Sch. of Med., Mount Sinai, NY
  • Volume
    2
  • Issue
    5
  • fYear
    2008
  • fDate
    9/1/2008 12:00:00 AM
  • Firstpage
    206
  • Lastpage
    221
  • Abstract
    Abstraction of intracellular biomolecular interactions into networks is useful for data integration and graph analysis. Network analysis tools facilitate predictions of novel functions for proteins, prediction of functional interactions and identification of intracellular modules. These efforts are linked with drug and phenotype data to accelerate drug-target and biomarker discovery. This review highlights the currently available varieties of mammalian biomolecular networks, and surveys methods and tools to construct, compare, integrate, visualise and analyse such networks.
  • Keywords
    cellular biophysics; data mining; drugs; graph theory; medical computing; molecular biophysics; proteins; biomarker discovery; data integration; data mining; data standards; drug-target discovery; graph analysis; intracellular biomolecular interactions; intracellular modules; mammalian molecular systems biology; network analysis tools; network integration;
  • fLanguage
    English
  • Journal_Title
    Systems Biology, IET
  • Publisher
    iet
  • ISSN
    1751-8849
  • Type

    jour

  • DOI
    10.1049/iet-syb:20070075
  • Filename
    4648903