Trend Analysis of a Database of Intravenous Pharmacokinetic Parameters in Humans for 670 Drug Compounds

By R. Obach, F. Lombardo, N. Waters. Drug Metabolism And Disposition, 2008

418 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Pharmacology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/7c8f3853e3257a4505166bb8d1567aff308897a9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. John A. Arnott
2. S. Planey

In Pharmacology

1. John A. Arnott
2. S. Planey

In Spectroscopy

1. John A. Arnott
2. S. Planey

Citations in the corpus

• Lipophilicity in drug discovery (2010, neutral): “A dataset of human in vivo clearances for 670 compounds has been published by Obach [43].”
• Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development (2021, neutral): “This dataset is from Obach et al. (2008) and it consists of 667 drugs and their half life duration.”
• The influence of lipophilicity in drug discovery and design (2012, background): “brain-to-plasma AUC values in these mice compared to wildtype (WT) mice, 14 showed modest efflux and 3 showed pronounced efflux [73].”