General Principles for the Validation of Proarrhythmia Risk Prediction Models: An Extension of the CiPA In Silico Strategy

Protocol-Dependent Differences in IC50 Values Measured in Human Ether-Á-Go-Go–Related Gene Assays Occur in a Predictable Way and Can Be Used to Quantify State Preference of Drug Binding

(2019) William Lee et al.   MOLECULAR PHARMACOLOGY

The Temperature Dependence of Kinetics Associated with Drug Block of hERG Channels Is Compound-Specific and an Important Factor for Proarrhythmic Risk Prediction

(2018) Monique J. Windley et al.   MOLECULAR PHARMACOLOGY

Improving the generation and selection of virtual populations in quantitative systems pharmacology models

(2018) Theodore R. Rieger et al.   PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY

Automatic Optimization of an in Silico Model of Human iPSC Derived Cardiomyocytes Recapitulating Calcium Handling Abnormalities

(2018) Michelangelo Paci et al.   Frontiers in Physiology

A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research

(2018) Haibo Ni et al.   Frontiers in Physiology

Complex versus simple models: ion-channel cardiac toxicity prediction

(2018) Hitesh B. Mistry   PeerJ

Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative

(2018) Zhihua Li et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

International Multisite Study of Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes for Drug Proarrhythmic Potential Assessment

(2018) Ksenia Blinova et al.   Cell Reports

Comprehensive In Vitro Proarrhythmia Assay (CiPA) Update from a Cardiac Safety Research Consortium / Health and Environmental Sciences Institute / FDA Meeting

(2018) David G. Strauss et al.   Therapeutic Innovation & Regulatory Science

Large-Scale Simulation of the Phenotypical Variability Induced by Loss-of-Function Long QT Mutations in Human Induced Pluripotent Stem Cell Cardiomyocytes

(2018) Michelangelo Paci et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Development of torsadogenic risk assessment using human induced pluripotent stem cell-derived cardiomyocytes: Japan iPS Cardiac Safety Assessment (JiCSA) update

(2018) Yasunari Kanda et al.   JOURNAL OF PHARMACOLOGICAL SCIENCES

Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator

(2018) Francisco Sahli Costabal et al.   PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY

Impact of disease state on arrhythmic event detection by action potential modelling in cardiac safety pharmacology

(2018) Bernard Christophe et al.   JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS

Phenotypic variability in LQT3 human induced pluripotent stem cell-derived cardiomyocytes and their response to antiarrhythmic pharmacologic therapy: An in silico approach

(2017) Michelangelo Paci et al.   HEART RHYTHM

Predicting Drug Safety and Communicating Risk: Benefits of a Bayesian Approach

(2017) Stanley E Lazic et al.   TOXICOLOGICAL SCIENCES

A new paradigm for drug-induced torsadogenic risk assessment using human iPS cell-derived cardiomyocytes

(2017) Hiroyuki Ando et al.   JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS

Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicator

(2017) Beth McMillan et al.   Toxicology Research

Novel Two-Step Classifier for Torsades de Pointes Risk Stratification from Direct Features

(2017) Jaimit Parikh et al.   Frontiers in Pharmacology

Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment

(2017) Kelly C. Chang et al.   Frontiers in Physiology

Global Optimization of Ventricular Myocyte Model to Multi-Variable Objective Improves Predictions of Drug-Induced Torsades de Pointes

(2017) Trine Krogh-Madsen et al.   Frontiers in Physiology

Optimization of an In silico Cardiac Cell Model for Proarrhythmia Risk Assessment

(2017) Sara Dutta et al.   Frontiers in Physiology

Human In Silico Drug Trials Demonstrate Higher Accuracy than Animal Models in Predicting Clinical Pro-Arrhythmic Cardiotoxicity

(2017) Elisa Passini et al.   Frontiers in Physiology

Improved Prediction of Drug-Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms

(2016) M Cummins Lancaster et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Recent developments in using mechanistic cardiac modelling for drug safety evaluation

(2016) Mark R. Davies et al.   DRUG DISCOVERY TODAY

Convergence of models of human ventricular myocyte electrophysiology after global optimization to recapitulate clinical long QT phenotypes

(2016) Stefan A. Mann et al.   JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY

Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?

(2016) Ross H. Johnstone et al.   JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY

Uncertainty and variability in computational and mathematical models of cardiac physiology

(2016) Gary R. Mirams et al.   JOURNAL OF PHYSIOLOGY-LONDON

Evolution of strategies to improve preclinical cardiac safety testing

(2016) Gary Gintant et al.   NATURE REVIEWS DRUG DISCOVERY

Electrophysiological Characteristics of Human iPSC-Derived Cardiomyocytes for the Assessment of Drug-Induced Proarrhythmic Potential

(2016) Wataru Yamamoto et al.   PLoS One

Early afterdepolarizations promote transmural reentry in ischemic human ventricles with reduced repolarization reserve

(2016) Sara Dutta et al.   PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY

Variability in cardiac electrophysiology: Using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm

(2016) Anna Muszkiewicz et al.   PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY

Early assessment of proarrhythmic risk of drugs using the in vitro data and single-cell-based in silico models: proof of concept

(2016) Mitra Abbasi et al.   TOXICOLOGY MECHANISMS AND METHODS

Early assessment of proarrhythmic risk of drugs using the in vitro data and single-cell-based in silico models: proof of concept

(2016) Mitra Abbasi et al.   TOXICOLOGY MECHANISMS AND METHODS

A temperature-dependent in silico model of the human ether-à-go-go- related (hERG) gene channel

(2016) Zhihua Li et al.   JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS

The Comprehensive in Vitro Proarrhythmia Assay (CiPA) initiative — Update on progress

(2016) Thomas Colatsky et al.   JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS

In silicoprediction of drug therapy in catecholaminergic polymorphic ventricular tachycardia

(2015) Pei-Chi Yang et al.   JOURNAL OF PHYSIOLOGY-LONDON

Uncertainty quantification of fast sodium current steady-state inactivation for multi-scale models of cardiac electrophysiology

(2015) Pras Pathmanathan et al.   PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY

Screening system for drug-induced arrhythmogenic risk combining a patch clamp and heart simulator

(2015) J.-i. Okada et al.   Science Advances

Bayesian Population Physiologically-Based Pharmacokinetic (PBPK) Approach for a Physiologically Realistic Characterization of Interindividual Variability in Clinically Relevant Populations

(2015) Markus Krauss et al.   PLoS One

Screening for Acute I Kr Block Is Insufficient to Detect Torsades de Pointes Liability

(2014) Tao Yang et al.   CIRCULATION

Simulation of early after-depolarisation in non-failing human ventricular myocytes: Can this help cardiac safety pharmacology?

(2014) Bernard Christophe   Pharmacological Reports

Rechanneling the cardiac proarrhythmia safety paradigm: A meeting report from the Cardiac Safety Research Consortium

(2013) Philip T. Sager et al.   AMERICAN HEART JOURNAL

Computational Models of Ventricular- and Atrial-Like Human Induced Pluripotent Stem Cell Derived Cardiomyocytes

(2013) Michelangelo Paci et al.   ANNALS OF BIOMEDICAL ENGINEERING

Experimentally calibrated population of models predicts and explains intersubject variability in cardiac cellular electrophysiology

(2013) Oliver J. Britton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

MICE Models: Superior to the HERG Model in Predicting Torsade de Pointes

(2013) James Kramer et al.   Scientific Reports

Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment

(2013) Ryan C. Elkins et al.   JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS

Simulation of multiple ion channel block provides improved early prediction of compounds’ clinical torsadogenic risk

(2011) Gary R. Mirams et al.   CARDIOVASCULAR RESEARCH

Quantification of repolarization reserve to understand interpatient variability in the response to proarrhythmic drugs: A computational analysis

(2011) Amrita X. Sarkar et al.   HEART RHYTHM

Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation

(2011) Thomas O'Hara et al.   PLoS Computational Biology

An evaluation of hERG current assay performance: Translating preclinical safety studies to clinical QT prolongation

(2010) Gary Gintant   PHARMACOLOGY & THERAPEUTICS

Parameter Sensitivity Analysis in Electrophysiological Models Using Multivariable Regression

(2009) Eric A. Sobie   BIOPHYSICAL JOURNAL

hERG in vitro interchange factors—development and verification

(2009) Barbara Wiśniowska et al.   TOXICOLOGY MECHANISMS AND METHODS

Validation of Biomarker-Based Risk Prediction Models

(2008) J. M.G. Taylor et al.   CLINICAL CANCER RESEARCH