Computational Approaches for Drug-Induced Liver Injury (DILI) Prediction: State of the Art and Challenges-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume: Page:308-329
ISSN:
Container-title:Systems Medicine
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Author:

Béquignon Olivier J.M.,Pawar Gopal,van de Water Bob,Cronin Mark T.D.,van Westen Gerard J.P.

Publisher

Elsevier

Reference144 articles.

1. Analysis of structural characteristics of chemical compounds in a large computer-based file. Part II. Atom-centred fragments;Adamson;Journal of the Chemical Society C: Organic,1971

2. Predicting drug-induced liver injury using ensemble learning methods and molecular fingerprints;Ai;Toxicological Sciences,2018

3. Drug-induced liver injury: Do we know everything?;Alempijevic;World Journal of Hepatology,2017

4. Moving beyond binary predictions of human drug-induced liver injury (Dili) towards contrasting relative risk potential;Aleo;Chemical Research in Toxicology,2019

5. In silico prediction of chemical-induced hepatocellular hypertrophy using molecular descriptors;Ambe;Toxicological Sciences,2018

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1. Deep Learning Algorithm Based on Molecular Fingerprint for Prediction of Drug‐Induced Liver Injury;Toxicology;2024-02

2. The integrated stress response‐related expression of CHOP due to mitochondrial toxicity is a warning sign for DILI liability;Liver International;2024-01-13

3. Collaborative SAR Modeling and Prospective In Vitro Validation of Oxidative Stress Activation in Human HepG2 Cells;Journal of Chemical Information and Modeling;2023-08-24

4. Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives;Journal of Chemical Information and Modeling;2023-04-26

5. Development of binary classification models for assessment of drug-induced liver injury in humans using a large set of FDA-approved drugs;Journal of Pharmacological and Toxicological Methods;2022-07