Journal article
The Cardiac Electrophysiology Web Lab
- Abstract:
- Computational modelling of cardiac cellular electrophysiology has a long history, with many models 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 behaviours, in order to choose a model as a suitable basis for a new study, or characterize how a particular model behaves in different scenarios? We have created an online resource for the characterization and comparison of electrophysiological cell models under 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 properties, block of particular channels, and hypo-/hyper-kalaemia. This resource is publicly available, open source, and free; and we invite the community to use it and become involved in future developments. Those interested in comparing competing hypotheses using models can make a more informed decision; those developing new models can upload them for easy evaluation under the existing protocols, and even add their own protocols.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.5MB, Terms of use)
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- Publisher copy:
- 10.1016/j.bpj.2015.12.012
Authors
+ Sir Henry Dale Fellowship
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- Funding agency for:
- Mirams, G
- Grant:
- 101222/Z/13/Z
+ German Federal Ministry of Education and Research
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- Funding agency for:
- Scharm, M
- Grant:
- FKZ 031 6194
- Publisher:
- Cell Press
- Journal:
- Biophysical Journal More from this journal
- Volume:
- 110
- Issue:
- 2
- Pages:
- 292–300
- Publication date:
- 2016-01-01
- DOI:
- EISSN:
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1542-0086
- ISSN:
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0006-3495
- Pubs id:
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pubs:579908
- UUID:
-
uuid:eb085a3f-a34d-423d-b85f-4870453cfa8d
- Local pid:
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pubs:579908
- Source identifiers:
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579908
- Deposit date:
-
2015-12-14
- ARK identifier:
Terms of use
- Copyright holder:
- Biophysical Society
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 The Authors. Under a Creative Commons license, Open Access funded by Wellcome Trust.
- Licence:
- CC Attribution (CC BY)
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