Professor GARY MIRAMS GARY.MIRAMS@NOTTINGHAM.AC.UK
PROFESSOR OF MATHEMATICAL BIOLOGY
Professor GARY MIRAMS GARY.MIRAMS@NOTTINGHAM.AC.UK
PROFESSOR OF MATHEMATICAL BIOLOGY
Mark R. Davies
Yi Cui
Peter Kohl
Denis Noble
Concerns over cardiac side effects are the largest single cause of compound attrition during pharmaceutical drug development. For a number of years, biophysically detailed mathematical models of cardiac electrical activity have been used to explore how a compound, interfering with specific ion-channel function, may explain effects at the cell-, tissue- and organ-scales. With the advent of high-throughput screening of multiple ion channels in the wet-lab, and improvements in computational modelling of their effects on cardiac cell activity, more reliable prediction of pro-arrhythmic risk is becoming possible at the earliest stages of drug development. In this paper, we review the current use of biophysically detailed mathematical models of cardiac myocyte electrical activity in drug safety testing, and suggest future directions to employ the full potential of this approach. LINKED ARTICLE This article is commented on by Gintant, pp. 929-931 of this issue. © 2012 The British Pharmacological Society.
Mirams, G. R., Davies, M. R., Cui, Y., Kohl, P., & Noble, D. (2012). Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing. British Journal of Pharmacology, 167(5), 932-945. https://doi.org/10.1111/j.1476-5381.2012.02020.x
Journal Article Type | Review |
---|---|
Acceptance Date | Apr 26, 2012 |
Publication Date | Nov 1, 2012 |
Deposit Date | Jan 14, 2020 |
Journal | British Journal of Pharmacology |
Print ISSN | 0007-1188 |
Electronic ISSN | 1476-5381 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 167 |
Issue | 5 |
Pages | 932-945 |
DOI | https://doi.org/10.1111/j.1476-5381.2012.02020.x |
Public URL | https://nottingham-repository.worktribe.com/output/3217596 |
Publisher URL | https://bpspubs.onlinelibrary.wiley.com/doi/full/10.1111/j.1476-5381.2012.02020.x |
Ten simple rules for training scientists to make better software
(2024)
Journal Article
Evaluating the predictive accuracy of ion channel models using data from multiple experimental designs
(2024)
Preprint / Working Paper
A range of voltage-clamp protocol designs for rapid capture of hERG kinetics
(2024)
Preprint / Working Paper
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search