Related references
Note: Only part of the references are listed.Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment
Sara Dutta et al.
FRONTIERS IN PHYSIOLOGY (2017)
Improving the In Silico Assessment of Proarrhythmia Risk by Combining hERG (Human Ether-a-go-go-Related Gene) Channel-Drug Binding Kinetics and Multichannel Pharmacology
Zhihua Li et al.
CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY (2017)
Estimability Analysis and Optimal Design in Dynamic Multi-scale Models of Cardiac Electrophysiology
Matthew S. Shotwell et al.
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS (2016)
Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
Ross H. Johnstone et al.
JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY (2016)
Uncertainty and variability in computational and mathematical models of cardiac physiology
Gary R. Mirams et al.
JOURNAL OF PHYSIOLOGY-LONDON (2016)
Evolution of strategies to improve preclinical cardiac safety testing
Gary Gintant et al.
NATURE REVIEWS DRUG DISCOVERY (2016)
A temperature-dependent in silico model of the human ether-a-go-go-related (hERG) gene channel
Zhihua Li et al.
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS (2016)
An evaluation of 30 clinical drugs against the comprehensive in vitro proarrhythmia assay (CiPA) proposed ion channel panel
William J. Crumb et al.
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS (2016)
The Comprehensive in Vitro Proarrhythmia Assay (CiPA) initiative Update on progress
Thomas Colatsky et al.
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS (2016)
A New Perspective in the Field of Cardiac Safety Testing through the Comprehensive In Vitro Proarrhythmia Assay Paradigm
Bernard Fermini et al.
JOURNAL OF BIOMOLECULAR SCREENING (2016)
Uncertainty quantification of fast sodium current steady-state inactivation for multi-scale models of cardiac electrophysiology
Pras Pathmanathan et al.
PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY (2015)
Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology
Oliver J. Britton et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)
Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment
Ryan C. Elkins et al.
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS (2013)
Ensuring reliability of safety-critical clinical applications of computational cardiac models
Pras Pathmanathan et al.
FRONTIERS IN PHYSIOLOGY (2013)
Quantification of repolarization reserve to understand interpatient variability in the response to proarrhythmic drugs: A computational analysis
Amrita X. Sarkar et al.
HEART RHYTHM (2011)
Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation
Thomas O'Hara et al.
PLOS COMPUTATIONAL BIOLOGY (2011)
Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME
Karline Soetaert et al.
JOURNAL OF STATISTICAL SOFTWARE (2010)
Solving Differential Equations in R: Package deSolve
Karline Soetaert et al.
JOURNAL OF STATISTICAL SOFTWARE (2010)
Investigating dynamic protocol-dependence of hERG potassium channel inhibition at 37 °C: Cisapride versus dofetilide
James T. Milnes et al.
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS (2010)
Markov models for ion channels: versatility versus identifiability and speed
Martin Fink et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2009)
L-type calcium current reactivation contributes to arrhythmogenesis associated with action potential triangulation
Donglin Guo et al.
JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY (2007)
Electrophysiological effects of ranolazine, a novel antianginal agent with antiarrhythmic properties
C Antzelevitch et al.
CIRCULATION (2004)