Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

Prediction models for drug-induced hepatotoxicity by using weighted molecular fingerprints

Abstract Background Drug-induced liver injury (DILI) is a critical issue in drug development because DILI causes failures in clinical trials and the withdrawal of approved drugs from the market. There have been many attempts to predict the risk of DILI based on in vivo and in silico identification o...

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Bibliographic Details
Main Authors: Eunyoung Kim, Hojung Nam
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BMC Bioinformatics
Subjects:
Drug toxicity prediction
Drug-induced liver injury
Machine learning
Data mining
Online Access:http://link.springer.com/article/10.1186/s12859-017-1638-4

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