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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer
2008
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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. |
format | Online Article Text |
id | pubmed-3171394 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Springer |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lilinzhong integratingbiosystemmodelsusingwaveformrelaxation AT seymourrobertm integratingbiosystemmodelsusingwaveformrelaxation AT baigentstephen integratingbiosystemmodelsusingwaveformrelaxation |