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
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