• DocumentCode
    3627796
  • Title

    Stochastic simulation of coupled chemical reactions using recursive methods

  • Author

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

  • Author_Institution
    Department of Electrical and Computer Engineering Stony Brook University, NY 11794, USA
  • fYear
    2008
  • Firstpage
    653
  • Lastpage
    656
  • Abstract
    In this paper, we present a new method for stochastic simulation of coupled chemical reactions. In this method we obtain recursive expressions for propagating the first two moments of the probability distributions over time. Its advantage over other simulation methods is that it does not require Monte Carlo simulations, and hence it performs several orders of magnitude faster than existing Monte Carlo methods. Simulation results are presented for some examples of coupled first-order reactions.
  • Keywords
    "Stochastic processes","Computational modeling","Biological system modeling","Stochastic systems","Probability distribution","Laplace equations","Computer simulation","Chemical engineering","Proteins","Chemical analysis"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    2379-190X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517694
  • Filename
    4517694