ArticleJournal of pharmacological and toxicological methods
A web portal for in-silico action potential predictions.
Article in Journal of pharmacological and toxicological methods. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- The Hidden Cost of QTc Assessment: A Quantitative Weight of Evidence Framework to Eliminate Structural False Positives and Restore the Lost Opportunity Cost of Abandoned Medicines.Clinical pharmacology and therapeutics · 2026Review
- Quantitative systems toxicology modeling in pharmaceutical research and development: An industry-wide survey and selected case study examples.CPT: pharmacometrics & systems pharmacology · 2024Review
- Global Air Pollutant Phenanthrene and Arrhythmic Outcomes in a Mouse Model.Environmental health perspectives · 2023Article
- Assessment of proarrhythmogenic risk for chloroquine and hydroxychloroquine using the CiPA concept.European journal of pharmacology · 2021Article
- Cardiac TdP risk stratification modelling of anti-infective compounds including chloroquine and hydroxychloroquine.Royal Society open science · 2021Article
- Comparison of the Simulated Response of ThreeFrontiers in pharmacology · 2021Article
- Use of Patient Health Records to Quantify Drug-Related Pro-arrhythmic Risk.Cell reports. Medicine · 2020Article
- METROID: an automated method for robust quantification of subcellular fluorescence events at low SNR.BMC bioinformatics · 2020Article
- Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used inFrontiers in bioengineering and biotechnology · 2018Article
- Article
- Nonclinical cardiovascular safety of pitolisant: comparing International Conference on Harmonization S7B and Comprehensive in vitro Pro-arrhythmia Assay initiative studies.British journal of pharmacology · 2017Article
- Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator.Toxicology research · 2017Article
- Recent developments in using mechanistic cardiac modelling for drug safety evaluation.Drug discovery today · 2016Review
- Hierarchical Bayesian inference for ion channel screening dose-response data.Wellcome open research · 2016Article
- A stable cell line inducibly expressing hERG1a/1b heteromeric channels.Journal of pharmacological and toxicological methodsArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
introductionMultiple cardiac ion channels are prone to block by pharmaceutical compounds, and this can have large implications for cardiac safety. The effect of a compound on individual ion currents can now be measured in automated patch clamp screening assays. In-silico action potential models are proposed as one way of predicting the integrated compound effects on whole-cell electrophysiology, to provide an improved indication of pro-arrhythmic risk.
methodsWe have developed open source software to run cardiac electrophysiology simulations to predict the overall effect of compounds that block IKr, ICaL, INa, IKs, IK1 and Ito to varying degrees, using a choice of mathematical electrophysiology models. To enable safety pharmacology teams to run and evaluate these simulations easily, we have also developed an open source web portal interface to this simulator.
resultsThe web portal can be found at https://chaste.cs.ox.ac.uk/ActionPotential. Users can enter details of compound affinities for ion channels in the form of IC50 or pIC50 values, run simulations, store the results for later retrieval, view summary graphs of the results, and export data to a spreadsheet format. DISCUSSION: This web portal provides a simple interface to reference versions of mathematical models, and well-tested state-of-the-art equation solvers. It provides safety teams easy access to the emerging technology of cardiac electrophysiology simulations for use in the drug-discovery process.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.