ReviewBritish journal of pharmacology2012
Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing.
Review in British journal of pharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 103 citations in OpenAlex.
- In silico modelling of multi-electrode arrays for enhancing cardiac drug testing on hiPSC-CM heterogeneous tissues.The Journal of physiology · 2026Article
- Transparent Graphene Interfaces for Capacitive Recordings from hiPSC-Derived Cardiomyocyte Monolayers: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2026Article
- Optimizing experimental designs for model selection of ion channel drug-binding mechanisms.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- The Potential Mechanisms behind Loperamide-Induced Cardiac Arrhythmias Associated with Human Abuse and Extreme Overdose.Biomolecules · 2023Article
- Predicting rare events using neural networks and short-trajectory data.Journal of computational physics · 2023Article
- Unraveling Structural Alerts in Marketed Drugs for Improving Adverse Outcome Pathway Framework of Drug-Induced QT Prolongation.International journal of molecular sciences · 2023Article
- Models of the cardiac L-type calcium current: A quantitative review.WIREs mechanisms of disease · 2023Review
- Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment.Frontiers in pharmacology · 2023Article
- Neuronal population models reveal specific linear conductance controllers sufficient to rescue preclinical disease phenotypes.iScience · 2021Article
- Data integration for the numerical simulation of cardiac electrophysiology.Pacing and clinical electrophysiology : PACE · 2021Review
- Artificial Intelligence-Driven Algorithm for Drug Effect Prediction on Atrial Fibrillation: AnFrontiers in physiology · 2021Article
- Immediate and Delayed Response of Simulated Human Atrial Myocytes to Clinically-Relevant Hypokalemia.Frontiers in physiology · 2021Article
- Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Considering discrepancy when calibrating a mechanistic electrophysiology model.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- Transmural and rate-dependent profiling of drug-induced arrhythmogenic risks through in silico simulations of multichannel pharmacology.Scientific reports · 2019Article
- A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows.PLoS computational biology · 2019Article
- Reproducible model development in the cardiac electrophysiology Web Lab.Progress in biophysics and molecular biology · 2018Article
- 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
- Cardiac action potential repolarization revisited: early repolarization shows all-or-none behaviour.The Journal of physiology · 2017Review
- Effects of amiodarone on short QT syndrome variant 3 in human ventricles: a simulation study.Biomedical engineering online · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
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.
Indexed as
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What OpenQuestion holds
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.