Multiscale Simulation of Stochastic Reaction-Diffusion Networks

Stefan Engblom (), Andreas Hellander () and Per Lötstedt ()
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Stefan Engblom: Uppsala University, Division of Scientific Computing, Department of Information Technology
Andreas Hellander: Uppsala University, Division of Scientific Computing, Department of Information Technology
Per Lötstedt: Uppsala University, Division of Scientific Computing, Department of Information Technology

A chapter in Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, 2017, pp 55-79 from Springer

Abstract: Abstract The most commonly employed spatial stochastic simulation methods for biochemical systems in molecular systems biology are reviewed from a multiscale perspective. Three levels of approximation are distinguished: macroscopic, mesoscopic, and microscopic levels. The relation between the levels of approximation is discussed for both reactions between molecules and transport of the molecules through a solvent. Computational methods are described for each level separately and for hybrid methods involving two levels. Free software implementing these methods in space and time is surveyed.

Keywords: Primary: 65C40; Secondary: 60H35; Tertiary: 92C05 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-62627-7_3

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DOI: 10.1007/978-3-319-62627-7_3

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