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.
Authors
- Jean Quancard (ORCID: https://orcid.org/0000-0001-6324-8490)
- Dennis Schade (ORCID: https://orcid.org/0000-0002-5515-1821)
- Enrico Schmidt
- Thomas S. Ullrich (ORCID: https://orcid.org/0000-0002-6196-7368)
- Sven Herschel (ORCID: https://orcid.org/0009-0001-1452-1873)
Institutions
- Christian-Albrechts-Universität zu Kiel (DE)
- Novartis (China) (CN)
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
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Bundesministerium für Wirtschaft und Energie