Support Vector Machine model for hERG inhibitory activities based on the integrated hERG database using descriptor selection by NSGA-II

Abstract Assessing the hERG liability in the early stages of drug discovery programs is important. The recent increase of hERG-related information in public databases enabled various successful applications of machine learning techniques to predict hERG inhibition. However, most of these researches...

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Bibliographic Details
Main Authors: Keiji Ogura, Tomohiro Sato, Hitomi Yuki, Teruki Honma
Format: Article
Language:English
Published: Nature Publishing Group 2019-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-019-47536-3