The Cardiac Electrophysiology Web Lab

Biophysical Journal
Jonathan CooperGary R Mirams

Abstract

Computational modeling of cardiac cellular electrophysiology has a long history, and many models are now available for different species, cell types, and experimental preparations. This success brings with it a challenge: how do we assess and compare the underlying hypotheses and emergent behaviors so that we can choose a model as a suitable basis for a new study or to characterize how a particular model behaves in different scenarios? We have created an online resource for the characterization and comparison of electrophysiological cell models in a wide range of experimental scenarios. The details of the mathematical model (quantitative assumptions and hypotheses formulated as ordinary differential equations) are separated from the experimental protocol being simulated. Each model and protocol is then encoded in computer-readable formats. A simulation tool runs virtual experiments on models encoded in CellML, and a website (https://chaste.cs.ox.ac.uk/WebLab) provides a friendly interface, allowing users to store and compare results. The system currently contains a sample of 36 models and 23 protocols, including current-voltage curve generation, action potential properties under steady pacing at different rates, restitution pro...Continue Reading

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Citations

Feb 20, 2016·Drug Discovery Today·Mark R DaviesLiudmila Polonchuk
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Aug 17, 2021·The Journal of General Physiology·Jacob M KempThomas W Claydon
May 31, 2018·Progress in Biophysics and Molecular Biology·Aidan C DalyGary R Mirams
Mar 13, 2020··Raymond SpiteriMaurice Hendrix

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Software Mentioned

ML
Web Lab
CellML Physiome
Chaste
SED
COMBINE Archive
Simulation Experiment Description Markup Language ( SED - ML )
BiVeS
CellML

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