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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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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. |
format | Online Article Text |
id | pubmed-6677717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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