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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ChemMedChem
Article . 2025 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
ChemMedChem
Article . 2025
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Estimation of In Vivo Half‐Life From In Vitro Metabolic Clearance, Protein, and Cell Membrane Affinity Assays

Authors: Carla Pou, Miralbell; Sandrine, Desrayaud; Berndt, Oberhauser; John, Reilly; Yves P, Auberson;

Estimation of In Vivo Half‐Life From In Vitro Metabolic Clearance, Protein, and Cell Membrane Affinity Assays

Abstract

A reliable prediction of the in vivo plasma half‐life of drug candidates, from easily accessible in vitro assays, is not yet possible. It is surmised that the existing models, which consider protein binding and metabolic clearance, will be improved if they also include the propensity of molecules to bind to cell membranes. To test this hypothesis, a proportionality equation taking these three parameters into account is developed. This article discusses that when this equation can be applied and how reliable its predictions are. It also shows that under controlled conditions, this equation can be used in early medicinal chemistry programs to predict the half‐life of novel compounds in rats from in vitro assays.

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Keywords

Pharmaceutical Preparations, Metabolic Clearance Rate, Cell Membrane, Animals, Half-Life, Rats, Protein Binding

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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