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

• Auteurs principaux: Tobias Kanacher (Auteur), Andreas Lindauer (Auteur), Enrica Mezzalana (Auteur), Ingrid Michon (Auteur), Celine Veau (Auteur), Jose David Gómez Mantilla (Auteur), Valerie Nock (Auteur), Angèle Fleury (Auteur)
• Format: Livre
• Publié: MDPI AG, 2020-12-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

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....