Computational determination of hERG-related cardiotoxicity of drug candidates

Computational determination of hERG-related cardiotoxicity of drug candidates

Abstract Background Drug candidates often cause an unwanted blockage of the potassium ion channel of the human ether-a-go-go-related gene (hERG). The blockage leads to long QT syndrome (LQTS), which is a severe life-threatening cardiac side effect. Therefore, a virtual screening method to predict dr...

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Bibliographic Details
Main Authors: Hyang-Mi Lee, Myeong-Sang Yu, Sayada Reemsha Kazmi, Seong Yun Oh, Ki-Hyeong Rhee, Myung-Ae Bae, Byung Ho Lee, Dae-Seop Shin, Kwang-Seok Oh, Hyithaek Ceong, Donghyun Lee, Dokyun Na
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Bioinformatics
Subjects:
In silico model
Machine learning
hERG-related cardiotoxicity
Drug discovery
Online Access:http://link.springer.com/article/10.1186/s12859-019-2814-5

Internet

http://link.springer.com/article/10.1186/s12859-019-2814-5

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