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Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge (2013)
Journal Article

Introduction Drugs that prolong the QT interval on the electrocardiogram present a major safety concern for pharmaceutical companies and regulatory agencies. Despite a range of assays performed to assess compound effects on the QT interval, QT prolo... Read More about Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge.

Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment (2013)
Journal Article

Introduction: Unwanted drug interactions with ionic currents in the heart can lead to an increased pro-arrhythmic risk to patients in the clinic. It is therefore a priority for safety pharmacology teams to detect block of cardiac ion channels, and ne... Read More about Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment.

mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study (2013)
Journal Article

Differences in mRNA expression levels have been observed in failing versus non-failing human hearts for several membrane channel proteins and accessory subunits. These differences may play a causal role in electrophysiological changes observed in hum... Read More about mRNA Expression Levels in Failing Human Hearts Predict Cellular Electrophysiological Remodeling: A Population-Based Simulation Study.

Computational assessment of drug-induced effects on the electrocardiogram: From ion channel to body surface potentials (2013)
Journal Article

Background and Purpose: Understanding drug effects on the heart is key to safety pharmacology assessment and anti-arrhythmic therapy development. Here our goal is to demonstrate the ability of computational models to simulate the effect of drug actio... Read More about Computational assessment of drug-induced effects on the electrocardiogram: From ion channel to body surface potentials.