Literature DB >> 32119969

Physically-plausible modelling of biomolecular systems: A simplified, energy-based model of the mitochondrial electron transport chain.

Peter J Gawthrop1, Peter Cudmore2, Edmund J Crampin3.   

Abstract

Advances in systems biology and whole-cell modelling demand increasingly comprehensive mathematical models of cellular biochemistry. Such models require the development of simplified representations of specific processes which capture essential biophysical features but without unnecessarily complexity. Recently there has been renewed interest in thermodynamically-based modelling of cellular processes. Here we present an approach to developing of simplified yet thermodynamically consistent (hence physically plausible) models which can readily be incorporated into large scale biochemical descriptions but which do not require full mechanistic detail of the underlying processes. We illustrate the approach through development of a simplified, physically plausible model of the mitochondrial electron transport chain and show that the simplified model behaves like the full system.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Bond graph; Computational biology; Systems biology; Thermodynamical modelling

Mesh:

Year:  2020        PMID: 32119969     DOI: 10.1016/j.jtbi.2020.110223

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  Hierarchical semantic composition of biosimulation models using bond graphs.

Authors:  Niloofar Shahidi; Michael Pan; Soroush Safaei; Kenneth Tran; Edmund J Crampin; David P Nickerson
Journal:  PLoS Comput Biol       Date:  2021-05-13       Impact factor: 4.475

2.  Network Thermodynamical Modeling of Bioelectrical Systems: A Bond Graph Approach.

Authors:  Peter J Gawthrop; Michael Pan
Journal:  Bioelectricity       Date:  2021-03-16

3.  Modular assembly of dynamic models in systems biology.

Authors:  Michael Pan; Peter J Gawthrop; Joseph Cursons; Edmund J Crampin
Journal:  PLoS Comput Biol       Date:  2021-10-13       Impact factor: 4.475

  3 in total

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