Predicting drug metabolism: experiment and/or computation?
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Authors
Kirchmair, Johannes
Göller, Andreas H
Lang, Dieter
Kunze, Jens
Testa, Bernard
Wilson, Ian D
Schneider, Gisbert
Publication Date
2015-04-24Journal Title
Nature Reviews Drug Discovery
ISSN
1474-1776
Publisher
Nature Publishing Group
Volume
14
Pages
387-404
Language
English
Type
Article
Metadata
Show full item recordCitation
Kirchmair, J., Göller, A. H., Lang, D., Kunze, J., Testa, B., Wilson, I. D., Glen, R., & et al. (2015). Predicting drug metabolism: experiment and/or computation?. Nature Reviews Drug Discovery, 14 387-404. https://doi.org/10.1038/nrd4581
Abstract
Drug metabolism can produce metabolites with physicochemical and pharmacological properties that differ substantially from those of the parent drug, and consequently has important implications for both drug safety and efficacy. To reduce the risk of costly clinical-stage attrition due to the metabolic characteristics of drug candidates, there is a need for efficient and reliable ways to predict drug metabolism in vitro, in silico and in vivo. In this Perspective, we provide an overview of the state of the art of experimental and computational approaches for investigating drug metabolism. We highlight the scope and limitations of these methods, and indicate strategies to harvest the synergies that result from combining measurement and prediction of drug metabolism.
Identifiers
External DOI: https://doi.org/10.1038/nrd4581
This record's URL: https://www.repository.cam.ac.uk/handle/1810/248131
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