The Phenotypic Hit-to-Probe Challenge

Abstract Phenotypic drug discovery (PDD) fuels the clinical pipelines with first-in-class therapeutic modalities. Success rates depend on the quality of the assay models and can be hampered by resource-intensive processes of target and mode-of-action deconvolution. A critical part of this practice is generating focused sets of phenotypic probes to accelerate in vivo validation and to support target/concept tractability and translatability, raising the question of which phenotypic hit analogues to synthesize as high-quality chemical probes for a given campaign. Here, we outline recommendations and discuss criteria tailored to the specific demands of phenotypic probes. With examples of successful PDD programs, some of which have yielded approved first-in-class drugs, we illustrate common design principles. These underscore that phenotypic probes benefit from (a) availability of matched pairs of active/inactive stereoisomers, (b) ligand topology-guided optimization, and (c) exit vectors for ADME- and target deconvolution-driven acceleration of early in vivo proof-of-concept and advancement towards clinical candidates.

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Publication Details

Journal
Journal of Medicinal Chemistry
Published
2026-10-14
DOI
https://doi.org/10.1021/acs.jmedchem.6c02122
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

The Phenotypic Hit-to-Probe Challenge

Jean Quancard, Dennis Schade, Enrico Schmidt, Thomas S. Ullrich et al.
Journal of Medicinal Chemistry
Computational Drug Discovery Methods
article

The Phenotypic Hit-to-Probe Challenge

Jean Quancard, Dennis Schade, Enrico Schmidt, Thomas S. Ullrich, Sven Herschel
article en

Abstract

Abstract Phenotypic drug discovery (PDD) fuels the clinical pipelines with first-in-class therapeutic modalities. Success rates depend on the quality of the assay models and can be hampered by resource-intensive processes of target and mode-of-action deconvolution. A critical part of this practice is generating focused sets of phenotypic probes to accelerate in vivo validation and to support target/concept tractability and translatability, raising the question of which phenotypic hit analogues to synthesize as high-quality chemical probes for a given campaign. Here, we outline recommendations and discuss criteria tailored to the specific demands of phenotypic probes. With examples of successful PDD programs, some of which have yielded approved first-in-class drugs, we illustrate common design principles. These underscore that phenotypic probes benefit from (a) availability of matched pairs of active/inactive stereoisomers, (b) ligand topology-guided optimization, and (c) exit vectors for ADME- and target deconvolution-driven acceleration of early in vivo proof-of-concept and advancement towards clinical candidates.

Journal of Medicinal Chemistry
Christian-Albrechts-Universität zu Kiel (DE), Novartis (China) (CN)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Bundesministerium für Wirtschaft und Energie
Good health and well-being
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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