Literature DB >> 28690404

Energy-based analysis of biomolecular pathways.

Peter J Gawthrop1, Edmund J Crampin1,2,3,4.   

Abstract

Decomposition of biomolecular reaction networks into pathways is a powerful approach to the analysis of metabolic and signalling networks. Current approaches based on analysis of the stoichiometric matrix reveal information about steady-state mass flows (reaction rates) through the network. In this work, we show how pathway analysis of biomolecular networks can be extended using an energy-based approach to provide information about energy flows through the network. This energy-based approach is developed using the engineering-inspired bond graph methodology to represent biomolecular reaction networks. The approach is introduced using glycolysis as an exemplar; and is then applied to analyse the efficiency of free energy transduction in a biomolecular cycle model of a transporter protein [sodium-glucose transport protein 1 (SGLT1)]. The overall aim of our work is to present a framework for modelling and analysis of biomolecular reactions and processes which considers energy flows and losses as well as mass transport.

Entities:  

Keywords:  biomolecular systems; bond graph; network thermodynamics; reaction kinetics

Year:  2017        PMID: 28690404      PMCID: PMC5493942          DOI: 10.1098/rspa.2016.0825

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  37 in total

1.  Comparison of network-based pathway analysis methods.

Authors:  Jason A Papin; Joerg Stelling; Nathan D Price; Steffen Klamt; Stefan Schuster; Bernhard O Palsson
Journal:  Trends Biotechnol       Date:  2004-08       Impact factor: 19.536

2.  On the formalization of multi-scale and multi-science processes for integrative biology.

Authors:  Vanessa Díaz-Zuccarini; César Pichardo-Almarza
Journal:  Interface Focus       Date:  2011-03-30       Impact factor: 3.906

3.  Computer modeling of mitochondrial tricarboxylic acid cycle, oxidative phosphorylation, metabolite transport, and electrophysiology.

Authors:  Fan Wu; Feng Yang; Kalyan C Vinnakota; Daniel A Beard
Journal:  J Biol Chem       Date:  2007-06-25       Impact factor: 5.157

4.  The Virtual Physiological Human: The Physiome Project Aims to Develop Reproducible, Multiscale Models for Clinical Practice.

Authors:  Peter Hunter
Journal:  IEEE Pulse       Date:  2016 Jul-Aug       Impact factor: 0.924

Review 5.  Network thermodynamics: dynamic modelling of biophysical systems.

Authors:  G F Oster; A S Perelson; A Katchalsky
Journal:  Q Rev Biophys       Date:  1973-02       Impact factor: 5.318

6.  Thermodynamic determination of the Na+: glucose coupling ratio for the human SGLT1 cotransporter.

Authors:  X Z Chen; M J Coady; F Jackson; A Berteloot; J Y Lapointe
Journal:  Biophys J       Date:  1995-12       Impact factor: 4.033

7.  Virtual Reference Environments: a simple way to make research reproducible.

Authors:  Daniel G Hurley; David M Budden; Edmund J Crampin
Journal:  Brief Bioinform       Date:  2014-11-28       Impact factor: 11.622

8.  Reaction routes in biochemical reaction systems: algebraic properties, validated calculation procedure and example from nucleotide metabolism.

Authors:  S Schuster; C Hilgetag; J H Woods; D A Fell
Journal:  J Math Biol       Date:  2002-08       Impact factor: 2.259

9.  Regulation of cardiac cellular bioenergetics: mechanisms and consequences.

Authors:  Kenneth Tran; Denis S Loiselle; Edmund J Crampin
Journal:  Physiol Rep       Date:  2015-07

Review 10.  Towards an evolutionary theory of the origin of life based on kinetics and thermodynamics.

Authors:  Robert Pascal; Addy Pross; John D Sutherland
Journal:  Open Biol       Date:  2013-11-06       Impact factor: 6.411

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  3 in total

1.  Bond graph modelling of the cardiac action potential: implications for drift and non-unique steady states.

Authors:  Michael Pan; Peter J Gawthrop; Kenneth Tran; Joseph Cursons; Edmund J Crampin
Journal:  Proc Math Phys Eng Sci       Date:  2018-06-27       Impact factor: 2.704

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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