| Literature DB >> 28690404 |
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