• DocumentCode
    1040300
  • Title

    Modular analysis of signal transduction networks

  • Author

    Saez-Rodriguez, Julio ; Kremling, Andreas ; Conzelmann, Holger ; Bettenbrock, Katja ; Gilles, Ernst Dieter

  • Author_Institution
    Max-Planck-Institute for Dynamics of Complex Tech. Syst., Magdeburg, Germany
  • Volume
    24
  • Issue
    4
  • fYear
    2004
  • Firstpage
    35
  • Lastpage
    52
  • Abstract
    This paper introduces compelling problems of biological systems and signaling networks to show how engineering tools can be applied to the analysis of the cellular machinery. The mechanisms that cells have developed to process information are described, and the decomposition of signalling networks into subsystems is discussed. A novel criterion for defining modules based on the absence of retroactivity is also presented, and some simple criteria for the analysis of the resulting units are introduced. Two simple examples, two-component signaling and MAPK cascade, and a more complicated example, EGF signaling, were reviewed. An important point to discuss in model analysis for cellular system is the availability of experimental data that is sufficient to verify the model structure and model parameters.
  • Keywords
    cellular biophysics; physiological models; biological systems; cellular machinery; modular analysis; signal transduction networks; signaling networks decomposition; Biochemistry; Biomembranes; Cellular networks; DNA; Machinery; Organisms; Proteins; Sensor systems; Signal analysis; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2004.1316652
  • Filename
    1316652