Prediction of drug-induced liver injury and cardiotoxicity using chemical structure and in vitro assay data-Reference-Cited by-同舟云学术

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Prediction of drug-induced liver injury and cardiotoxicity using chemical structure and in vitro assay data

Published:2022-11 Issue: Volume:454 Page:116250
ISSN:0041-008X
Container-title:Toxicology and Applied Pharmacology
language:en
Short-container-title:Toxicology and Applied Pharmacology

Author:

Ye Lin,Ngan Deborah K.,Xu Tuan,Liu Zhichao,Zhao Jinghua,Sakamuru Srilatha,Zhang Li,Zhao Tongan,Xia Menghang,Simeonov Anton,Huang Ruili

Funder

National Institute of Environmental Health Sciences

National Center for Advancing Translational Sciences

National Institutes of Health

Publisher

Elsevier BV

Subject

Pharmacology,Toxicology

Reference89 articles.

1. Profiling of the Tox21 chemical collection for mitochondrial function to identify compounds that acutely decrease mitochondrial membrane potential;Attene-Ramos;Environ. Health Perspect.,2015

2. Role of ranolazine in cardiovascular disease and diabetes: exploring beyond angina;Banerjee;Int. J. Cardiol.,2017

3. Bosutinib versus imatinib in newly diagnosed chronic-phase chronic myeloid leukaemia: results from the 24-month follow-up of the BELA trial;Brummendorf;Br. J. Haematol.,2015

4. Assessment of elimination profile of albendazole residues in fish;Busatto;Food Addit. Contam. Part A Chem. Anal. Control Expo Risk Assess,2018

5. Risk factors for idiosyncratic drug-induced liver injury;Chalasani;Gastroenterology,2010

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1. Evaluating the Utility of the MSTI Assay in Predicting Compound Promiscuity and Cytotoxicity;Chemical Research in Toxicology;2024-09-10

2. The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges;Molecular Therapy - Nucleic Acids;2024-09

3. Prediction of chemical-induced acute toxicity using in vitro assay data and chemical structure;Toxicology and Applied Pharmacology;2024-09

4. Improved Detection of Drug-Induced Liver Injury by Integrating Predicted In Vivo and In Vitro Data;Chemical Research in Toxicology;2024-07-09

5. Interpretable machine learning in predicting drug-induced liver injury among tuberculosis patients: model development and validation study;BMC Medical Research Methodology;2024-04-20

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