Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features-Reference-Cited by-同舟云学术

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Predicting Drug-Induced Liver Injury Using Convolutional Neural Network and Molecular Fingerprint-Embedded Features

Published:2020-09-22 Issue:39 Volume:5 Page:25432-25439
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Nguyen-Vo Thanh-Hoang¹^ORCID,Nguyen Loc²^ORCID,Do Nguyet²^ORCID,Le Phuc H.²^ORCID,Nguyen Thien-Ngan²^ORCID,Nguyen Binh P.¹^ORCID,Le Ly²³^ORCID

Affiliation:

1. School of Mathematics and Statistics, Victoria University of Wellington, Wellington 6140, New Zealand

2. Computational Biology Center, International University—VNU HCMC, Ho Chi Minh City 700000, Vietnam

3. Vingroup Big Data Institute, Ha Noi 100000, Vietnam

Funder

Air Force Office of Scientific Research

Ministry for Business Innovation and Employment

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acsomega.0c03866

Reference54 articles.

1. Human Cytochrome P450 Family 4 Enzymes: Function, Genetic Variation and Regulation

2. Drug-Induced Liver Toxicity and Prevention by Herbal Antioxidants: An Overview

3. Hepatotoxicity by Drugs: The Most Common Implicated Agents

4. Drug-Induced Hepatotoxicity: A Review

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