Performance of machine learning algorithms for qualitative and quantitative prediction drug blockade of hERG1 channel-Reference-Cited by-同舟云学术

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Performance of machine learning algorithms for qualitative and quantitative prediction drug blockade of hERG1 channel

Published:2018-05 Issue: Volume:6 Page:55-63
ISSN:2468-1113
Container-title:Computational Toxicology
language:en
Short-container-title:Computational Toxicology

Author:

Wacker Soren,Noskov Sergei Yu.

Funder

Heart and Stroke Foundation of Alberta

National Institutes of Health

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Computer Science Applications,Toxicology

Reference53 articles.

1. HERG K(+) channels: structure, function, and clinical significance;Vandenberg;Physiol. Rev.,2012

2. The hERG potassium channel as a therapeutic target;Witchel;Expert Opin. Ther. Targets,2007

3. Drug-induced hERG block and long QT syndrome;Witchel;Cardiovasc. Ther.,2011

4. High-throughput screening of drug-binding dynamics to HERG improves early drug safety assessment;Di Veroli;Am. J. Physiol. Heart Circ. Physiol.,2013

5. Torsades de Pointes induced by the concomitant use of ivabradine and azithromycin: an unexpected dangerous interaction;Cocco;Cardiovasc. Toxicol.,2015

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