Combining in Vitro and in Vivo Pharmacokinetic Data for Prediction of Hepatic Drug Clearance in Humans by Artificial Neural Networks and Multivariate Statistical Techniques-Reference-Cited by-同舟云学术

Combining in Vitro and in Vivo Pharmacokinetic Data for Prediction of Hepatic Drug Clearance in Humans by Artificial Neural Networks and Multivariate Statistical Techniques

Published:1999-11-20 Issue:25 Volume:42 Page:5072-5076
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Schneider Gisbert¹,Coassolo Philippe¹,Lavé Thierry¹

Affiliation:

1. F. Hoffmann-La Roche Ltd., Pharmaceuticals Division, CH-4070 Basel, Switzerland

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/jm991030j

Reference20 articles.

1. Integration of in Vitro Data into Allometric Scaling to Predict Hepatic Metabolic Clearance in Man: Application to 10 Extensively Metabolized Drugs

2. Physiologically based pharmacokinetic modeling as a tool for drug development

3. Encainide and its metabolites. Comparative effects in man on ventricular arrhythmia and electrocardiographic intervals.

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