Improved Prediction of Michaelis Constants in CYP450-Mediated Reactions by Resilient Back Propagation Algorithm
Author:
Publisher
Bentham Science Publishers Ltd.
Subject
Clinical Biochemistry,Pharmacology
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Structure–Property Relationships and Machine Learning Models for Addressing CYP3A4-Mediated Victim Drug–Drug Interaction Risk in Drug Discovery;Molecular Pharmaceutics;2020-08-14
2. Identification and in silico prediction of metabolites of tebufenozide derivatives by major human cytochrome P450 isoforms;Bioorganic & Medicinal Chemistry;2020-05
3. ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches;Journal of Chemical Information and Modeling;2019-10-23
4. Developing a Multi-Dose Computational Model for Drug-Induced Hepatotoxicity Prediction Based on Toxicogenomics Data;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2019-07-01
5. Survey of Machine Learning Techniques for Prediction of the Isoform Specificity of Cytochrome P450 Substrates;Current Drug Metabolism;2019-05-22
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