✦ LIBER ✦

Database analyses for the prediction of in vivo drug–drug interactions from in vitro data

✍ Scribed by Kiyomi Ito; Hayley S. Brown; J. Brian Houston

Book ID: 108640063
Publisher: John Wiley and Sons
Year: 2004
Tongue: English
Weight: 337 KB
Volume: 57
Category: Article
ISSN: 0306-5251
DOI: 10.1111/j.1365-2125.2003.02041.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Predicting in vivo drug interactions fro

Predicting in vivo drug interactions from in vitro drug discovery data

✍ Wienkers, Larry C.; Heath, Timothy G. 📂 Article 📅 2005 🏛 Nature Publishing Group 🌐 English ⚖ 442 KB

Prediction of drug-drug interactions of

Prediction of drug-drug interactions of zonisamide metabolism in humans from in vitro data

✍ H. Nakasa; H. Nakamura; S. Ono; M. Tsutsui; M. Kiuchi; S. Ohmori; M. Kitada 📂 Article 📅 1998 🏛 Springer 🌐 English ⚖ 308 KB

Inhibition-based metabolic drug–drug int

Inhibition-based metabolic drug–drug interactions: Predictions from in vitro data

✍ Caiping Yao; René H. Levy 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 132 KB

There has been a growing interest in predicting in vivo metabolic drug-drug interactions from in vitro systems. High-throughput screening methods aimed at assessing the potential of drug candidates for drug interactions are widely used in industry. However, at present, there is no consensus on metho

Prediction of in vivo drug–drug interact

Prediction of in vivo drug–drug interactions from in vitro data: impact of incorporating parallel pathways of drug elimination and inhibitor absorption rate constant

✍ Hayley S. Brown; Kiyomi Ito; Aleksandra Galetin; J. Brian Houston 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 296 KB

Simulation and prediction of in vivo dru

Simulation and prediction of in vivo drug metabolism in human populations from in vitro data

✍ Rostami-Hodjegan, Amin; Tucker, Geoffrey T. 📂 Article 📅 2007 🏛 Nature Publishing Group 🌐 English ⚖ 798 KB

Prediction of drug distribution in vivo

Prediction of drug distribution in vivo on the basis of in vitro binding data

✍ G. Schuhmann; B. Fichtl; H. Kurz 📂 Article 📅 1987 🏛 John Wiley and Sons 🌐 English ⚖ 630 KB

For 11 drugs it was investigated whether tissue distribution in vivo can be predicted by use of binding data obtained in vitro. The selection of drugs represented a broad spectrum of physicochemical and pharmacokinetic properties thought to be important for distribution of drugs in vivo. The extent