Original paper

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

Volume: 100, Issue: 4, Pages: 371 - 379
Published: May 20, 2016
Abstract
The ventricular arrhythmia Torsades de Pointes (TdP) is a common form of drug‐induced cardiotoxicity, but prediction of this arrhythmia remains an unresolved issue in drug development. Current assays to evaluate arrhythmia risk are limited by poor specificity and a lack of mechanistic insight. We addressed this important unresolved issue through a novel computational approach that combined simulations of drug effects on dynamics with statistical...
Paper Details
Title
Improved Prediction of Drug‐Induced Torsades de Pointes Through Simulations of Dynamics and Machine Learning Algorithms
Published Date
May 20, 2016
Volume
100
Issue
4
Pages
371 - 379
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