A Physiologically-Based Pharmacokinetic (PBPK) Model Network for the Prediction of CYP1A2 and CYP2C19 Drug–Drug–Gene Interactions with Fluvoxamine, Omeprazole, S-mephenytoin, Moclobemide, Tizanidine, Mexiletine, Ethinylestradiol, and Caffeine

Physiologically-based pharmacokinetic (PBPK) modeling is a well-recognized method for quantitatively predicting the effect of intrinsic/extrinsic factors on drug exposure. However, there are only few verified, freely accessible, modifiable, and comprehensive drug–drug interaction (DDI) PBPK models....

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Detalles Bibliográficos
Autores principales: Kanacher, Tobias, Lindauer, Andreas, Mezzalana, Enrica, Michon, Ingrid, Veau, Celine, Mantilla, Jose David Gómez, Nock, Valerie, Fleury, Angèle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764797/
https://www.ncbi.nlm.nih.gov/pubmed/33302490
http://dx.doi.org/10.3390/pharmaceutics12121191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764797/
https://www.ncbi.nlm.nih.gov/pubmed/33302490
http://dx.doi.org/10.3390/pharmaceutics12121191

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