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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1002/jcc.23130
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|a eng
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| 100 |
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|a Roberts, Elijah
|e verfasserin
|4 aut
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| 245 |
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|a Lattice Microbes
|b high-performance stochastic simulation method for the reaction-diffusion master equation
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|c 2013
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|a Text
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|a ƒaComputermedien
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|a Date Completed 10.06.2013
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|a Date Revised 21.10.2021
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2012 Wiley Periodicals, Inc.
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|a Spatial stochastic simulation is a valuable technique for studying reactions in biological systems. With the availability of high-performance computing (HPC), the method is poised to allow integration of data from structural, single-molecule and biochemical studies into coherent computational models of cells. Here, we introduce the Lattice Microbes software package for simulating such cell models on HPC systems. The software performs either well-stirred or spatially resolved stochastic simulations with approximated cytoplasmic crowding in a fast and efficient manner. Our new algorithm efficiently samples the reaction-diffusion master equation using NVIDIA graphics processing units and is shown to be two orders of magnitude faster than exact sampling for large systems while maintaining an accuracy of !0.1%. Display of cell models and animation of reaction trajectories involving millions of molecules is facilitated using a plug-in to the popular VMD visualization platform. The Lattice Microbes software is open source and available for download at http://www.scs.illinois.edu/schulten/lm
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|a Journal Article
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|a Research Support, N.I.H., Extramural
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|a Research Support, U.S. Gov't, Non-P.H.S.
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|a Transcription Factors
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|a Stone, John E
|e verfasserin
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|a Luthey-Schulten, Zaida
|e verfasserin
|4 aut
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|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 34(2013), 3 vom: 30. Jan., Seite 245-55
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|x 1096-987X
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|g volume:34
|g year:2013
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|g day:30
|g month:01
|g pages:245-55
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|u http://dx.doi.org/10.1002/jcc.23130
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