• DocumentCode
    189678
  • Title

    Robustness analysis of biomolecular networks

  • Author

    Waldherr, Steffen

  • Author_Institution
    Inst. for Autom. Eng., Otto-von-Guericke-Univ., Magdeburg, Germany
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    1176
  • Lastpage
    1181
  • Abstract
    Robustness is a widely studied property of biomolecular networks, and control engineers are in a good position to make significant contributions here. This tutorial defines common robustness analysis problems for biomolecular networks, presents computational methods to perform the analysis, and shows by means of examples what can be learned about a network from the analysis results. The focus is on deterministic methods applied to ordinary differential equation models of biomolecular networks.
  • Keywords
    biology; deterministic algorithms; differential equations; molecular biophysics; biomolecular networks; computational methods; deterministic methods; ordinary differential equation models; robustness analysis problems; Bifurcation; Biological system modeling; Jacobian matrices; Mathematical model; Robustness; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862637
  • Filename
    6862637