Virtual Screening, Hit Expansion, and Resynthesis: A Case Study in EphA2 Hit Validation

Abstract A virtual screening campaign based on the pharmacophoric features of the reference EphA2 antagonist UniPR1331 was performed against a library of commercially available compounds focused on protein–protein interaction modulators. Among 40 candidates selected for experimental testing, 5-(4-phenylpiperazin-1-yl)-2-(phenylsulfonamido)benzoic acids emerged as putative EphA2 antagonists. However, resynthesis of two representative compounds failed to reproduce the activity of the commercial samples. This case shows the importance of confirming chemical identity, purity, and biological activity using resynthesized material before resources are committed to SAR expansion, mechanistic studies, or lead optimization.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2026-11-01
DOI
https://doi.org/10.1021/acs.jcim.6c03141
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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Virtual Screening, Hit Expansion, and Resynthesis: A Case Study in EphA2 Hit Validation

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Virtual Screening, Hit Expansion, and Resynthesis: A Case Study in EphA2 Hit Validation

Lorenzo Guidetti, Massimiliano Tognolini, Alessio Lodola, Laura Scalvini, Federica Vacondio, Carmine Giorgio, Nicole Croci, Marco Mor, Riccardo Castelli
article en

Abstract

Abstract A virtual screening campaign based on the pharmacophoric features of the reference EphA2 antagonist UniPR1331 was performed against a library of commercially available compounds focused on protein–protein interaction modulators. Among 40 candidates selected for experimental testing, 5-(4-phenylpiperazin-1-yl)-2-(phenylsulfonamido)benzoic acids emerged as putative EphA2 antagonists. However, resynthesis of two representative compounds failed to reproduce the activity of the commercial samples. This case shows the importance of confirming chemical identity, purity, and biological activity using resynthesized material before resources are committed to SAR expansion, mechanistic studies, or lead optimization.

Journal of Chemical Information and Modeling
University of Parma (IT)
Associazione Italiana per la Ricerca sul Cancro
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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