Structure–Property Relationships and Machine Learning Models for Addressing CYP3A4-Mediated Victim Drug–Drug Interaction Risk in Drug Discovery-Reference-Cited by-同舟云学术

Structure–Property Relationships and Machine Learning Models for Addressing CYP3A4-Mediated Victim Drug–Drug Interaction Risk in Drug Discovery

Published:2020-08-14 Issue:9 Volume:17 Page:3600-3608
ISSN:1543-8384
Container-title:Molecular Pharmaceutics
language:en
Short-container-title:Mol. Pharmaceutics

Author:

Hu Bingjie¹,Zhou Xin²,Mohutsky Michael A.³,Desai Prashant V.¹^ORCID

Affiliation:

1. Computational ADME, ADME−Toxicology−PKPD, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana 46285, United States

2. ADME−Toxicology−PKPD, Lilly Research Laboratories, Eli Lilly and Company, San Diego, California 92121, United States

3. Investigational Drug Disposition, ADME−Toxicology−PKPD, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana 46285, United States

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Pharmaceutical Science,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.0c00637

Reference33 articles.

1. Physicochemical Properties, Biotransformation, and Transport Pathways of Established and Newly Approved Medications: A Systematic Review of the Top 200 Most Prescribed Drugs vs. the FDA-Approved Drugs Between 2005 and 2016

2. Evaluation of a New Molecular Entity as a Victim of Metabolic Drug-Drug Interactions--an Industry Perspective

3. FDA. In Vitro Drug Interaction Studies - Cytochrome P450 Enzyme and Transporter-Mediated Drug Interactions Guidance for Industry; Center for Drug Evaluation and Research: 2020.

4. In Silico, In Vitro and In Situ Models to Assess Interplay Between CYP3A and P-gp

5. AstraZeneca. TAGRISSO (osimertinib) tablet [package insert], U.S. Food and Drug Administration, https://www.accessdata.fda.gov/drugsatfda_docs/label/2015/208065s000lbl.pdf. Accessed May 31, 2020.

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