Literature DB >> 15332951

Efficient formulation of the stochastic simulation algorithm for chemically reacting systems.

Yang Cao1, Hong Li, Linda Petzold.   

Abstract

In this paper we examine the different formulations of Gillespie's stochastic simulation algorithm (SSA) [D. Gillespie, J. Phys. Chem. 81, 2340 (1977)] with respect to computational efficiency, and propose an optimization to improve the efficiency of the direct method. Based on careful timing studies and an analysis of the time-consuming operations, we conclude that for most practical problems the optimized direct method is the most efficient formulation of SSA. This is in contrast to the widely held belief that Gibson and Bruck's next reaction method [M. Gibson and J. Bruck, J. Phys. Chem. A 104, 1876 (2000)] is the best way to implement the SSA for large systems. Our analysis explains the source of the discrepancy. (c) 2004 American Institute of Physics

Year:  2004        PMID: 15332951     DOI: 10.1063/1.1778376

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  69 in total

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8.  Model aggregation: a building-block approach to creating large macromolecular regulatory networks.

Authors:  Ranjit Randhawa; Clifford A Shaffer; John J Tyson
Journal:  Bioinformatics       Date:  2009-10-29       Impact factor: 6.937

9.  An accelerated algorithm for discrete stochastic simulation of reaction-diffusion systems using gradient-based diffusion and tau-leaping.

Authors:  Wonryull Koh; Kim T Blackwell
Journal:  J Chem Phys       Date:  2011-04-21       Impact factor: 3.488

10.  Chemical master equation closure for computer-aided synthetic biology.

Authors:  Patrick Smadbeck; Yiannis N Kaznessis
Journal:  Methods Mol Biol       Date:  2015
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