• DocumentCode
    3862653
  • Title

    A stochastic approach to studying biochemical reactions without Monte Carlo simulations

  • Author

    Vibha Mane;Monica F. Bugallo;Petar M. Djuric

  • Author_Institution
    Department of Electrical and Computer Engineering, Stony Brook University, NY 11794, USA
  • fYear
    2009
  • Firstpage
    549
  • Lastpage
    552
  • Abstract
    The time evolution of molecular species in a biochemical system is a discrete-state continuous-time Markov process, which can be described by a chemical master equation. The traditional methods for solving the chemical master equation are based on Monte Carlo methods, such as the stochastic simulation algorithm (SSA). In prior work, we proposed a method for simulation of the time evolution based on the propagation of the first two moments of the molecules in the biochemical system over time. In this paper we present a generalization of our previous result. We also compare our method with other methods such as the stochastic hybrid systems (SHS).
  • Keywords
    "Stochastic processes","Stochastic systems","Equations","Evolution (biology)","Distributed computing","Markov processes","Chemical processes","Chemical engineering","Biological system modeling","Biological systems"
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2009. SSP ´09. IEEE/SP 15th Workshop on
  • ISSN
    2373-0803
  • Print_ISBN
    978-1-4244-2709-3
  • Type

    conf

  • DOI
    10.1109/SSP.2009.5278518
  • Filename
    5278518