Bond graph modelling of chemoelectrical energy transduction. Gawthrop, P. J., Siekmann, I., Kameneva, T., Saha, S., Ibbotson, M. R., & Crampin, E. J. IET Systems Biology, 11(5):127-138, 2017. Available at arXiv:1512.00956
doi  abstract   bibtex   
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-off between 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.
@article{GawSieKam17,
  author = {P. J. Gawthrop and I. Siekmann and T. Kameneva and S. Saha and M. R. Ibbotson and E. J. Crampin},
  journal = {IET Systems Biology},
  title = {Bond graph modelling of chemoelectrical energy transduction},
  year = 2017,
  volume = 11,
  number = 5,
  pages = {127-138},
  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-off between 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.},
  keywords = {biochemistry;bioelectric potentials;biomembrane transport;eye;molecular biophysics;neurophysiology;sodium;Na;biomolecular systems;chemoelectrical energy transduction;chemoelectrical systems;degenerative retinal ganglion cells;diseased neurons;energy consumption;energy-based bond graph modelling;excitable membranes;healthy neurons;healthy retinal ganglion cells;integrated thermodynamically compliant modelling;membrane action potential},
  doi = {10.1049/iet-syb.2017.0006},
  issn = {1751-8849},
  archiveprefix = {arXiv},
  eprint = {1512.00956},
  note = {Available at {arXiv:1512.00956}}
}

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