Prediction of Cytochrome P450 Inhibition Using a Deep Learning Approach and Substructure Pattern Recognition-Reference-Cited by-同舟云学术

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Prediction of Cytochrome P450 Inhibition Using a Deep Learning Approach and Substructure Pattern Recognition

Published:2023-10-21 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Chen Zhaoyang¹,Zhang Le¹,Zhang Pei¹,Guo Huizhu¹,Zhang Ruiqiu¹,Li Ling¹,Li Xiao¹^ORCID

Affiliation:

1. Department of Clinical Pharmacy, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Engineering and Technology Research Center for Pediatric Drug Development, Shandong Medicine and Health Key Laboratory of Clinical Pharmacy, Jinan 250014, China

Funder

National Natural Science Foundation of China

Chinese Society of Toxicology

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01396

Reference43 articles.

1. Cytochrome P450: genotype to phenotype

2. Drugs Behave as Substrates, Inhibitors and Inducers of Human Cytochrome P450 3A4

3. In silico prediction of chemical subcellular localization via multi-classification methods

4. In silico prediction of drug‐induced ototoxicity using machine learning and deep learning methods

5. Modeling and insights into molecular basis of low molecular weight respiratory sensitizers

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