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Multi-scale computational modelling in biology and physiology

Recent advances in biotechnology and the availability of ever more powerful computers have led to the formulation of increasingly complex models at all levels of biology. One of the main aims of systems biology is to couple these together to produce integrated models across multiple spatial scales a...

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Autores principales: Southern, James, Pitt-Francis, Joe, Whiteley, Jonathan, Stokeley, Daniel, Kobashi, Hiromichi, Nobes, Ross, Kadooka, Yoshimasa, Gavaghan, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112301/
https://www.ncbi.nlm.nih.gov/pubmed/17888502
http://dx.doi.org/10.1016/j.pbiomolbio.2007.07.019
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author Southern, James
Pitt-Francis, Joe
Whiteley, Jonathan
Stokeley, Daniel
Kobashi, Hiromichi
Nobes, Ross
Kadooka, Yoshimasa
Gavaghan, David
author_facet Southern, James
Pitt-Francis, Joe
Whiteley, Jonathan
Stokeley, Daniel
Kobashi, Hiromichi
Nobes, Ross
Kadooka, Yoshimasa
Gavaghan, David
author_sort Southern, James
collection PubMed
description Recent advances in biotechnology and the availability of ever more powerful computers have led to the formulation of increasingly complex models at all levels of biology. One of the main aims of systems biology is to couple these together to produce integrated models across multiple spatial scales and physical processes. In this review, we formulate a definition of multi-scale in terms of levels of biological organisation and describe the types of model that are found at each level. Key issues that arise in trying to formulate and solve multi-scale and multi-physics models are considered and examples of how these issues have been addressed are given for two of the more mature fields in computational biology: the molecular dynamics of ion channels and cardiac modelling. As even more complex models are developed over the coming few years, it will be necessary to develop new methods to model them (in particular in coupling across the interface between stochastic and deterministic processes) and new techniques will be required to compute their solutions efficiently on massively parallel computers. We outline how we envisage these developments occurring.
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spelling pubmed-71123012020-04-02 Multi-scale computational modelling in biology and physiology Southern, James Pitt-Francis, Joe Whiteley, Jonathan Stokeley, Daniel Kobashi, Hiromichi Nobes, Ross Kadooka, Yoshimasa Gavaghan, David Prog Biophys Mol Biol Review Recent advances in biotechnology and the availability of ever more powerful computers have led to the formulation of increasingly complex models at all levels of biology. One of the main aims of systems biology is to couple these together to produce integrated models across multiple spatial scales and physical processes. In this review, we formulate a definition of multi-scale in terms of levels of biological organisation and describe the types of model that are found at each level. Key issues that arise in trying to formulate and solve multi-scale and multi-physics models are considered and examples of how these issues have been addressed are given for two of the more mature fields in computational biology: the molecular dynamics of ion channels and cardiac modelling. As even more complex models are developed over the coming few years, it will be necessary to develop new methods to model them (in particular in coupling across the interface between stochastic and deterministic processes) and new techniques will be required to compute their solutions efficiently on massively parallel computers. We outline how we envisage these developments occurring. Elsevier Ltd. 2008 2007-08-11 /pmc/articles/PMC7112301/ /pubmed/17888502 http://dx.doi.org/10.1016/j.pbiomolbio.2007.07.019 Text en Copyright © 2007 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Review
Southern, James
Pitt-Francis, Joe
Whiteley, Jonathan
Stokeley, Daniel
Kobashi, Hiromichi
Nobes, Ross
Kadooka, Yoshimasa
Gavaghan, David
Multi-scale computational modelling in biology and physiology
title Multi-scale computational modelling in biology and physiology
title_full Multi-scale computational modelling in biology and physiology
title_fullStr Multi-scale computational modelling in biology and physiology
title_full_unstemmed Multi-scale computational modelling in biology and physiology
title_short Multi-scale computational modelling in biology and physiology
title_sort multi-scale computational modelling in biology and physiology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112301/
https://www.ncbi.nlm.nih.gov/pubmed/17888502
http://dx.doi.org/10.1016/j.pbiomolbio.2007.07.019
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