• DocumentCode
    2653374
  • Title

    [Non]-deterministic dynamics in cells: From multistability to stochastic switching

  • Author

    Halász, Adám M.

  • Author_Institution
    Dept. of Math., West Virginia Univ., Morgantown, WV, USA
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    599
  • Lastpage
    603
  • Abstract
    I will discuss the interplay between ¿traditional¿ deterministic dynamics and stochastic effects in live cells. The main example the lac operon, a set of self-promoting genes, which, together with the enzymes they express, act as a hysteretic switch. Stochastic simulations of the same system predict spontaneous, random switching by individual cells. This behavior can be well described by a simple abstraction. In a broader context, we review a few examples where stochasticity leads to useful and quantifiable behavior that amounts to a hedging strategy on the level of a population of cells. Finally, we describe stochastic simulations of systems with spatial structure, a field with applications from cancer to swarm robotics.
  • Keywords
    bioinformatics; cellular biophysics; enzymes; genetics; stochastic processes; cancer; enzymes; hysteretic switch; living cells; multistability; nondeterministic dynamics; self-promoting genes; stochastic switching; swarm robotics; Biochemistry; Biological system modeling; Computer simulation; Equations; Kinetic theory; Power system modeling; Predictive models; Stochastic processes; Stochastic systems; Switches; gene networks; signaling; stochastic simulations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2009. ITW 2009. IEEE
  • Conference_Location
    Taormina
  • Print_ISBN
    978-1-4244-4982-8
  • Electronic_ISBN
    978-1-4244-4983-5
  • Type

    conf

  • DOI
    10.1109/ITW.2009.5351507
  • Filename
    5351507