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Integrating Biosystem Models Using Waveform Relaxation

Modelling in systems biology often involves the integration of component models into larger composite models. How to do this systematically and efficiently is a significant challenge: coupling of components can be unidirectional or bidirectional, and of variable strengths. We adapt the waveform rela...

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Detalles Bibliográficos
Autores principales: Li, Linzhong, Seymour, RobertM, Baigent, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171394/
https://www.ncbi.nlm.nih.gov/pubmed/19125183
http://dx.doi.org/10.1155/2008/308623
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author Li, Linzhong
Seymour, RobertM
Baigent, Stephen
author_facet Li, Linzhong
Seymour, RobertM
Baigent, Stephen
author_sort Li, Linzhong
collection PubMed
description Modelling in systems biology often involves the integration of component models into larger composite models. How to do this systematically and efficiently is a significant challenge: coupling of components can be unidirectional or bidirectional, and of variable strengths. We adapt the waveform relaxation (WR) method for parallel computation of ODEs as a general methodology for computing systems of linked submodels. Four test cases are presented: (i) a cascade of unidirectionally and bidirectionally coupled harmonic oscillators, (ii) deterministic and stochastic simulations of calcium oscillations, (iii) single cell calcium oscillations showing complex behaviour such as periodic and chaotic bursting, and (iv) a multicellular calcium model for a cell plate of hepatocytes. We conclude that WR provides a flexible means to deal with multitime-scale computation and model heterogeneity. Global solutions over time can be captured independently of the solution techniques for the individual components, which may be distributed in different computing environments.
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spelling pubmed-31713942011-09-13 Integrating Biosystem Models Using Waveform Relaxation Li, Linzhong Seymour, RobertM Baigent, Stephen EURASIP J Bioinform Syst Biol Research Article Modelling in systems biology often involves the integration of component models into larger composite models. How to do this systematically and efficiently is a significant challenge: coupling of components can be unidirectional or bidirectional, and of variable strengths. We adapt the waveform relaxation (WR) method for parallel computation of ODEs as a general methodology for computing systems of linked submodels. Four test cases are presented: (i) a cascade of unidirectionally and bidirectionally coupled harmonic oscillators, (ii) deterministic and stochastic simulations of calcium oscillations, (iii) single cell calcium oscillations showing complex behaviour such as periodic and chaotic bursting, and (iv) a multicellular calcium model for a cell plate of hepatocytes. We conclude that WR provides a flexible means to deal with multitime-scale computation and model heterogeneity. Global solutions over time can be captured independently of the solution techniques for the individual components, which may be distributed in different computing environments. Springer 2008-11-10 /pmc/articles/PMC3171394/ /pubmed/19125183 http://dx.doi.org/10.1155/2008/308623 Text en Copyright © 2008 Linzhong Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Linzhong
Seymour, RobertM
Baigent, Stephen
Integrating Biosystem Models Using Waveform Relaxation
title Integrating Biosystem Models Using Waveform Relaxation
title_full Integrating Biosystem Models Using Waveform Relaxation
title_fullStr Integrating Biosystem Models Using Waveform Relaxation
title_full_unstemmed Integrating Biosystem Models Using Waveform Relaxation
title_short Integrating Biosystem Models Using Waveform Relaxation
title_sort integrating biosystem models using waveform relaxation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171394/
https://www.ncbi.nlm.nih.gov/pubmed/19125183
http://dx.doi.org/10.1155/2008/308623
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