• DocumentCode
    2652269
  • Title

    The Logic of Hypothesis Generation in Kinetic Modeling of System Biology

  • Author

    Doncescu, Andrei ; Siegel, Pierre

  • Author_Institution
    Lab. d´´Anal. et d´´Archit. des Syst. (LAAS), Toulouse, France
  • fYear
    2011
  • fDate
    7-9 Nov. 2011
  • Firstpage
    927
  • Lastpage
    929
  • Abstract
    In the past decades a lot of researches have been conducted to investigate pathways in order to increase the understanding of the mechanisms responsible for diseases and thus to find new treatments. One strategy to achieve this goal would be to inhibit or to trigger a part of the pathway that produces the disease. A strategy would be to first identify the pathway whose activity contributes to the disease and then look for drugs that inhibit or trigger the pathway acting on its internal components and reactions.
  • Keywords
    artificial life; diseases; hypothesis generation logic; kinetic modeling; pathway identification; system biology; Biological system modeling; Biological systems; Cognition; Computational modeling; Conferences; Mathematical model; logic of hypothesis; logical model; nonmonotonic logic; system biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
  • Conference_Location
    Boca Raton, FL
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4577-2068-0
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2011.158
  • Filename
    6103449