Human in silico drug trials demonstrate higher accuracy than animal models in predicting clinical pro-arrhythmic cardiotoxicity
- Submitting institution
-
University of Oxford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2032
- Type
- D - Journal article
- DOI
-
-
- Title of journal
- Frontiers in Physiology
- Article number
- 668
- First page
- 1
- Volume
- 8
- Issue
- 668
- ISSN
- 1664-042X
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://www.frontiersin.org/article/10.3389/fphys.2017.00668/full#supplementary-material
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
8
- Research group(s)
-
-
- Citation count
- 81
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Drug-induced cardiotoxicity is a principal cause of drug candidate abandonment during pharmaceutical development: between 2001-11, c.40% of drugs withdrawn from market had cardiovascular safety issues for humans. Guidelines require cardiotoxicity to be evaluated using animal tests, with c.60,000 animals used annually. This paper demonstrates that the Virtual Assay modelling software developed at Oxford, which is already in use in the pharmaceutical industry, greatly improves on the predictive accuracy of animal testing. The significance of this result, for reduced animal testing, industrial efficiency, and human wellbeing, was recognised by the award of the 2017 International 3Rs prize for this paper (https://www.nc3rs.org.uk/news/international-3rs-prize-awarded-computer-modelling-predicts-human-cardiac-safety-better-animal).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
