• DocumentCode
    627874
  • Title

    Exploring Model Integration through Quantized Information Flow

  • Author

    Derbal, Youcef

  • Author_Institution
    Ted Rogers Sch. of ITM, Ryerson Univ., Toronto, ON, Canada
  • fYear
    2013
  • fDate
    5-7 April 2013
  • Firstpage
    43
  • Lastpage
    44
  • Abstract
    The paper explores the integration of coarse-grained model abstractions using feedback of quantized information flow. The modeling and simulation of the lytic induction cycle of lambda phage is used as an illustrative example. The simulation results show that the model, with its modest complexity, has the capacity to internalize the relevant transcription regulatory logic and replicate the salient dynamics of the lytic induction cycle.
  • Keywords
    cellular biophysics; microorganisms; coarse-grained model abstraction; lambda phage; lytic induction cycle; model integration; quantized information flow; transcription regulatory logic; Analytical models; Biological system modeling; Computational modeling; Mathematical model; Protein engineering; Proteins; Coarse-grained Abstraction; Hierarchical Feedback; Quantized Information Flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2013 39th Annual Northeast
  • Conference_Location
    Syracuse, NY
  • ISSN
    2160-7001
  • Print_ISBN
    978-1-4673-4928-4
  • Type

    conf

  • DOI
    10.1109/NEBEC.2013.94
  • Filename
    6574348