Predicting in vivo drug interactions from in vitro drug discovery data

By L. Wienkers, T. Heath. Nature reviews. Drug discovery, 2005

908 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/84fd5a548730af145ed0569aeb892b8138f68e0e

How researchers see this paper

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

In Pharmacology

1. Amin Rostami-Hodjegan
2. Masoud Jamei
3. G. Dickinson

Citations in the corpus

• Cytochrome P450 Enzymes and Drug Metabolism in Humans (2021, background): “The specific process of this mechanism is complicated, because multiple occupancies and multistep bindings make CYPs susceptible to being induced or inhibited [89].”
• A framework for assessing inter-individual variability in pharmacokinetics using virtual human populations and integrating general knowledge of physical chemistry, biology, anatomy, physiology and genetics: A tale of 'bottom-up' vs 'top-down' recognition of covariates. (2009, background): “23) Understanding and fully characterizing metabolic routes helps with the early identification of potential covariates such as genetic polymorphisms of dug metabolizing enzymes, effects of environmental inducers or inhibitors, and any metabolic DDIs.”