Prediction of human cytochrome P450 inhibition using bio‐selectivity induced deep neural network
Author:
Affiliation:
1. AzothBio, Rm. DA724 Hyundai Knowledge Industry Center Hanam‐si Gyeonggi‐do Republic of Korea
2. School of Systems Biomedical Science Soongsil University Seoul Republic of Korea
Funder
National Research Foundation of Korea
Publisher
Wiley
Subject
General Chemistry
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/bkcs.12445
Reference48 articles.
1. Human Cytochromes P450 Associated with the Phase 1 Metabolism of Drugs and other Xenobiotics: A Compilation of Substrates and Inhibitors of the CYP1, CYP2 and CYP3 Families
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3. Improved feature-based prediction of SNPs in human cytochrome P450 enzymes
4. Clinical importance of the cytochromes P450
5. Structural features of cytochromes P450 and ligands that affect drug metabolism as revealed by x-ray crystallography and NMR
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