• Title of article

    Hybrid method for the chemical master equation

  • Author/Authors

    Martha Hellander، نويسنده , , Andreas and Lِtstedt، نويسنده , , Per، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2007
  • Pages
    23
  • From page
    100
  • To page
    122
  • Abstract
    The chemical master equation is solved by a hybrid method coupling a macroscopic, deterministic description with a mesoscopic, stochastic model. The molecular species are divided into one subset where the expected values of the number of molecules are computed and one subset with species with a stochastic variation in the number of molecules. The macroscopic equations resemble the reaction rate equations and the probability distribution for the stochastic variables satisfy a master equation. The probability distribution is obtained by the Stochastic Simulation Algorithm due to Gillespie. The equations are coupled via a summation over the mesoscale variables. This summation is approximated by Quasi-Monte Carlo methods. The error in the approximations is analyzed. The hybrid method is applied to three chemical systems from molecular cell biology.
  • Keywords
    Stochastic simulation algorithm , Monte Carlo Method , Quasi-Monte Carlo method , Reaction rate equations , Stochastic chemical kinetics , master equation
  • Journal title
    Journal of Computational Physics
  • Serial Year
    2007
  • Journal title
    Journal of Computational Physics
  • Record number

    1480284