• DocumentCode
    2819989
  • Title

    Evaluating the robustness of a biochemical network model

  • Author

    Ghaemi, Reza ; Vecchio, Domitilla Del

  • Author_Institution
    Michigan Univ., Ann Arbor
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    615
  • Lastpage
    620
  • Abstract
    Mathematical models of robust biological systems are expected to be robust against small variations in the model´s parameters. In this paper, we investigate the robustness of the model proposed by Laub and Loomis for the molecular network underlying adenosine 3´,5´-cycle monophosphate (cAMP) oscillations observed in populations of Dictyostelium cells 4 hours after the initiation of development. This is performed by using bifurcation analysis. In particular, we reduce the problem to study the persistence of the periodic orbit that arises from Hopf bifurcation as one key parameter is varied. By introducing an optimization problem, we determine the maximum allowed parameter variation under which the oscillatory behavior of the system persists. We obtain maximum allowed variation of 0.51% and show that this bound is tight.
  • Keywords
    bifurcation; biochemistry; biology; molecular biophysics; Dictyostelium cells; Hopf bifurcation; bifurcation analysis; biochemical network model; molecular network; robust biological systems; Bifurcation; Biological control systems; Biological system modeling; Biological systems; Computer networks; Extraterrestrial measurements; Linear approximation; Mathematical model; Robust control; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434348
  • Filename
    4434348