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

• Main Authors: Tobias Kanacher (Author), Andreas Lindauer (Author), Enrica Mezzalana (Author), Ingrid Michon (Author), Celine Veau (Author), Jose David Gómez Mantilla (Author), Valerie Nock (Author), Angèle Fleury (Author)
• Format: Book
• Published: MDPI AG, 2020-12-01T00:00:00Z.
• Subjects: article
• Online Access: 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....