A systematic assessment of robustness in CNS safety pharmacology

The pronounced interlaboratory variability in Irwin datasets for the CNS-active compound MK-801 needs to be carefully considered when making decisions during drug development. While environmental and general study design had a minor impact, the study suggests that harmonisation of parameters and their scoring can limit variability and increase robustness.

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Publication Details

Journal
British Journal of Pharmacology
Published
2024-10-10
DOI
https://doi.org/10.1111/bph.17358
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

A systematic assessment of robustness in CNS safety pharmacology

Eva‐Lotta von Rüden, Ann‐Marie Waldron, Johanna Kela, U. Dressler et al.
British Journal of Pharmacology
Computational Drug Discovery Methods
article

A systematic assessment of robustness in CNS safety pharmacology

Eva‐Lotta von Rüden, Ann‐Marie Waldron, Johanna Kela, U. Dressler, Katharina Aulehner, Kimberly Kerker, Heidrun Potschka, Heike Schauerte, Alexander Pennington, Martien J. Kas, Steven Roger Talbot, Helga Lorenz, Washington Arias, Helen Stirling, Maria Reiber, Sylvie Ramboz, Isabel Seiffert, Tarja Kuosmanen, Christina L Torturo, Tim P. Ahuis, Sami M. M. Virtanen
article en

Abstract

The pronounced interlaboratory variability in Irwin datasets for the CNS-active compound MK-801 needs to be carefully considered when making decisions during drug development. While environmental and general study design had a minor impact, the study suggests that harmonisation of parameters and their scoring can limit variability and increase robustness.

British Journal of PharmacologyVol. 182(3)
Boehringer Ingelheim (Germany) (DE), University of Groningen (NL), Medizinische Hochschule Hannover (DE), Psychogenics (United States) (US), Orion Corporation (Finland) (FI), AbbVie (Germany) (DE), Ludwig-Maximilians-Universität München (DE)
European Federation of Pharmaceutical Industries and Associations, European Commission, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 79%
Computational Drug Discovery Methods
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