Ion channel model reduction using manifold boundaries.

electrophysiology identifiability ion channel mathematical model model reduction

Journal

Journal of the Royal Society, Interface
ISSN: 1742-5662
Titre abrégé: J R Soc Interface
Pays: England
ID NLM: 101217269

Informations de publication

Date de publication:
08 2022
Historique:
entrez: 10 8 2022
pubmed: 11 8 2022
medline: 12 8 2022
Statut: ppublish

Résumé

Mathematical models of voltage-gated ion channels are used in basic research, industrial and clinical settings. These models range in complexity, but typically contain numerous variables representing the proportion of channels in a given state, and parameters describing the voltage-dependent rates of transition between states. An open problem is selecting the appropriate degree of complexity and structure for an ion channel model given data availability. Here, we simplify a model of the cardiac human Ether-à-go-go related gene (hERG) potassium ion channel, which carries cardiac

Identifiants

pubmed: 35946166
doi: 10.1098/rsif.2022.0193
pmc: PMC9363999
doi:

Substances chimiques

ERG1 Potassium Channel 0
Ether-A-Go-Go Potassium Channels 0
Ion Channels 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

20220193

Subventions

Organisme : Wellcome Trust
ID : 212203/Z/18/Z
Pays : United Kingdom

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Auteurs

Dominic G Whittaker (DG)

Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.

Jiahui Wang (J)

Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.

Joseph G Shuttleworth (JG)

Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.

Ravichandra Venkateshappa (R)

Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada.

Jacob M Kemp (JM)

Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada.

Thomas W Claydon (TW)

Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada.

Gary R Mirams (GR)

Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.

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Classifications MeSH