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Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches

Models of chemical kinetics that incorporate both stochasticity and diffusion are an increasingly common tool for studying biology. The variety of competing models is vast, but two stand out by virtue of their popularity: the reaction–diffusion master equation and Brownian dynamics. In this review,...

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Detalles Bibliográficos
Autores principales: Smith, Stephen, Grima, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677717/
https://www.ncbi.nlm.nih.gov/pubmed/29785521
http://dx.doi.org/10.1007/s11538-018-0443-1
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author Smith, Stephen
Grima, Ramon
author_facet Smith, Stephen
Grima, Ramon
author_sort Smith, Stephen
collection PubMed
description Models of chemical kinetics that incorporate both stochasticity and diffusion are an increasingly common tool for studying biology. The variety of competing models is vast, but two stand out by virtue of their popularity: the reaction–diffusion master equation and Brownian dynamics. In this review, we critically address a number of open questions surrounding these models: How can they be justified physically? How do they relate to each other? How do they fit into the wider landscape of chemical models, ranging from the rate equations to molecular dynamics? This review assumes no prior knowledge of modelling chemical kinetics and should be accessible to a wide range of readers.
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spelling pubmed-66777172019-08-16 Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches Smith, Stephen Grima, Ramon Bull Math Biol Special Issue: Gillespie and his Algorithms Models of chemical kinetics that incorporate both stochasticity and diffusion are an increasingly common tool for studying biology. The variety of competing models is vast, but two stand out by virtue of their popularity: the reaction–diffusion master equation and Brownian dynamics. In this review, we critically address a number of open questions surrounding these models: How can they be justified physically? How do they relate to each other? How do they fit into the wider landscape of chemical models, ranging from the rate equations to molecular dynamics? This review assumes no prior knowledge of modelling chemical kinetics and should be accessible to a wide range of readers. Springer US 2018-05-21 2019 /pmc/articles/PMC6677717/ /pubmed/29785521 http://dx.doi.org/10.1007/s11538-018-0443-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Special Issue: Gillespie and his Algorithms
Smith, Stephen
Grima, Ramon
Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches
title Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches
title_full Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches
title_fullStr Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches
title_full_unstemmed Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches
title_short Spatial Stochastic Intracellular Kinetics: A Review of Modelling Approaches
title_sort spatial stochastic intracellular kinetics: a review of modelling approaches
topic Special Issue: Gillespie and his Algorithms
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6677717/
https://www.ncbi.nlm.nih.gov/pubmed/29785521
http://dx.doi.org/10.1007/s11538-018-0443-1
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