Network Thermodynamical Modeling of Bioelectrical Systems: A Bond Graph Approach
| Autor: | Michael Pan, Peter J. Gawthrop |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Physics
chemistry.chemical_classification Transplantation Mathematical model Molecular Networks (q-bio.MN) Biomolecule Modelling biological systems Biomedical Engineering Medicine (miscellaneous) Electron chemistry FOS: Biological sciences Quantitative Biology - Molecular Networks Statistical physics Electrical and Electronic Engineering Bond graph Perspectives |
| Zdroj: | Bioelectricity |
| ISSN: | 2576-3113 2576-3105 |
| DOI: | 10.1089/bioe.2020.0042 |
| Popis: | Interactions among biomolecules, electrons, and protons are essential to many fundamental processes sustaining life. It is therefore of interest to build mathematical models of these bioelectrical processes not only to enhance understanding but also to enable computer models to complement in vitro and in vivo experiments. Such models can never be entirely accurate; it is nevertheless important that the models are compatible with physical principles. Network Thermodynamics, as implemented with bond graphs, provide one approach to creating physically compatible mathematical models of bioelectrical systems. This is illustrated using simple models of ion channels, redox reactions, proton pumps, and electrogenic membrane transporters thus demonstrating that the approach can be used to build mathematical and computer models of a wide range of bioelectrical systems. |
| Databáze: | OpenAIRE |
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