Bond graph modelling of chemoelectrical energy transduction

Peter J. Gawthrop, Ivo Siekmann, Tatiana Kameneva, Susmita Saha, Michael R. Ibbotson, Edmund J. Crampin

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)

Abstract

Energy-based bond graph modelling of biomolecular systems is extended to include chemoelectrical transduction thus enabling integrated thermodynamically compliant modelling of chemoelectrical systems in general and excitable membranes in particular. Our general approach is illustrated by recreating a well-known model of an excitable membrane. This model is used to investigate the energy consumed during a membrane action potential thus contributing to the current debate on the trade-offbetween the speed of an action potential event and energy consumption. The influx of Na+ is often taken as a proxy for energy consumption; in contrast, this study presents an energy-based model of action potentials. As the energy-based approach avoids the assumptions underlying the proxy approach it can be directly used to compute energy consumption in both healthy and diseased neurons. These results are illustrated by comparing the energy consumption of healthy and degenerative retinal ganglion cells using both simulated and in vitro data.

Original languageEnglish
Pages (from-to)127-138
Number of pages12
JournalIET Systems Biology
Volume11
Issue number5
DOIs
Publication statusPublished - Oct 2017
Externally publishedYes

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