Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity-Reference-Cited by-同舟云学术

Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity

Published:2019-02-04 Issue:3 Volume:59 Page:1073-1084
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Cai Chuipu¹²^ORCID,Guo Pengfei¹,Zhou Yadi³,Zhou Jingwei¹,Wang Qi¹,Zhang Fengxue²,Fang Jiansong¹^ORCID,Cheng Feixiong⁴⁵⁶^ORCID

Affiliation:

1. Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China

2. School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou 510405, China

3. Department of Chemistry and Biochemistry, Ohio University, Athens, Ohio 45701, United States

4. Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio 44106, United States

5. Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, 9500 Euclid Avenue, Cleveland, Ohio 44195, United States

6. Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio 44106, United States

Funder

National Heart, Lung, and Blood Institute

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.8b00769

Reference74 articles.

1. Relationships between preclinical cardiac electrophysiology, clinical QT interval prolongation and torsade de pointes for a broad range of drugs: evidence for a provisional safety margin in drug development

2. The inward rectification mechanism of the HERG cardiac potassium channel

3. A mechanistic link between an inherited and an acquird cardiac arrthytmia: HERG encodes the IKr potassium channel

4. Computational investigations of hERG channel blockers: New insights and current predictive models

5. Drugs, hERG and sudden death

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