• DocumentCode
    1640780
  • Title

    Crosstalk and the cooperation of collectively autocatalytic reaction networks

  • Author

    Decraene, James ; Mitchell, George G. ; McMullin, Barry

  • Author_Institution
    Sch. of Electron. Eng., Dublin City Univ., Dublin
  • fYear
    2009
  • Firstpage
    2249
  • Lastpage
    2256
  • Abstract
    We examine a potential role of signalling crosstalk in Artificial Cell Signalling Networks (ACSNs). In this research, we regard these ACSNs as subsets of collectively autocatalytic (i.e., organizationally closed) reaction networks being able to both self-maintain and to carry out a distinct signal processing function. These signalling crosstalk phenomena occur naturally when different biochemical networks become mixed together where a given molecular species may contribute simultaneously to multiple ACSNs. It has been reported in the biological literature, that crosstalk may have effects that are both constructive (e.g., coordinating cellular activities, multi-tasking) and destructive (e.g., premature programmed cell death). In this paper we demonstrate how crosstalk may enable distinct closed ACSNs to cooperate with other. From a theoretical point of view, this work may give new insights for the understanding of crosstalk in natural biochemical networks. From a practical point view, this investigation may provide novel applications of crosstalk in engineered ACSNs.
  • Keywords
    biochemistry; biology computing; catalysis; cellular biophysics; crosstalk; molecular biophysics; artificial cell signalling networks; biochemical networks; collectively autocatalytic reaction networks; signalling crosstalk; Analytical models; Biological information theory; Biomedical signal processing; Broadcasting; Cells (biology); Chemistry; Computational modeling; Crosstalk; Genetics; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4983220
  • Filename
    4983220