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Computational Approaches for Drug-Induced Liver Injury (DILI) Prediction: State of the Art and Challenges

Béquignon, OJM, Pawar, G, van de Water, B, Cronin, MTD and van Westen, GJP (2019) Computational Approaches for Drug-Induced Liver Injury (DILI) Prediction: State of the Art and Challenges. Reference Module in Biomedical Sciences.

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Abstract

Drug-induced liver injury (DILI) is one of the prevailing causes of fulminant hepatic failure. It is estimated that three idiosyncratic drug reactions out of four result in liver transplantation or death. Additionally, DILI is the most common reason for withdrawal of an approved drug from the market. Therefore, the development of methods for the early identification of hepatotoxic drug candidates is of crucial importance. This review focuses on the current state of cheminformatics strategies being applied for the early in silico prediction of DILI. Herein, we discuss key issues associated with DILI modelling in terms of the data size, imbalance and quality, complexity of mechanisms, and the different levels of hepatotoxicity to model going from general hepatotoxicity to the molecular initiating events of DILI.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
R Medicine > RA Public aspects of medicine > RA1190 Toxicology. Poisions
R Medicine > RS Pharmacy and materia medica
Divisions: Pharmacy & Biomolecular Sciences
Publisher: Elsevier Inc
Date Deposited: 28 Apr 2020 11:10
Last Modified: 28 Apr 2020 11:10
DOI or Identification number: 10.1016/B978-0-12-801238-3.11535-1
URI: http://researchonline.ljmu.ac.uk/id/eprint/12084

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