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

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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Publication Details

Journal
ChemMedChem
Published
2025-07-19
DOI
https://doi.org/10.1002/cmdc.202500459
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

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

Berndt Oberhauser, Yves P. Auberson, John Reilly, Sandrine Desrayaud et al.
ChemMedChem
Computational Drug Discovery Methods
article

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

Berndt Oberhauser, Yves P. Auberson, John Reilly, Sandrine Desrayaud, Carla Pou Miralbell
article en

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.

ChemMedChemVol. 20(16)
Novartis (Switzerland) (CH)
Openalex Percentile: Top 81%
Computational Drug Discovery Methods
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