A multi-scaled approach for simulating chemical reaction systems

Burrage, K., Tian, T. and Burrage, P. (2004) A multi-scaled approach for simulating chemical reaction systems. Progress in Biophysics and Molecular Biology, 85(2-3), pp. 217-234. (doi:10.1016/j.pbiomolbio.2004.01.014)

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In this paper we give an overview of some very recent work, as well as presenting a new approach, on the stochastic simulation of multi-scaled systems involving chemical reactions. In many biological systems (such as genetic regulation and cellular dynamics) there is a mix between small numbers of key regulatory proteins, and medium and large numbers of molecules. In addition, it is important to be able to follow the trajectories of individual molecules by taking proper account of the randomness inherent in such a system. We describe different types of simulation techniques (including the stochastic simulation algorithm, Poisson Runge–Kutta methods and the balanced Euler method) for treating simulations in the three different reaction regimes: slow, medium and fast. We then review some recent techniques on the treatment of coupled slow and fast reactions for stochastic chemical kinetics and present a new approach which couples the three regimes mentioned above. We then apply this approach to a biologically inspired problem involving the expression and activity of LacZ and LacY proteins in E. coli, and conclude with a discussion on the significance of this work.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Tian, Dr Tianhai
Authors: Burrage, K., Tian, T., and Burrage, P.
Subjects:Q Science > QH Natural history > QH345 Biochemistry
College/School:College of Science and Engineering > School of Mathematics and Statistics > Mathematics
Journal Name:Progress in Biophysics and Molecular Biology
ISSN (Online):1873-1732
Published Online:24 March 2004

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