A colorimetric assay adapted to fragment screening revealing aurones and chalcones as new arginase inhibitors.


Journal

RSC medicinal chemistry
ISSN: 2632-8682
Titre abrégé: RSC Med Chem
Pays: England
ID NLM: 101759460

Informations de publication

Date de publication:
22 May 2024
Historique:
received: 13 12 2023
accepted: 23 02 2024
pmc-release: 28 02 2025
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 24 5 2024
Statut: epublish

Résumé

Arginase, a difficult-to-target metalloenzyme, is implicated in a wide range of diseases, including cancer, infectious, and cardiovascular diseases. Despite the medical need, existing inhibitors have limited structural diversity, consisting predominantly of amino acids and their derivatives. The search for innovative arginase inhibitors has now extended to screening approaches. Due to the small and narrow active site of arginase, screening must meet the criteria of fragment-based screening. However, the limited binding capacity of fragments requires working at high concentrations, which increases the risk of interference and false positives. In this study, we investigated three colorimetric assays and selected one based on interference for screening under these challenging conditions. The subsequent adaptation and application to the screening a library of metal chelator fragments resulted in the identification of four compounds with moderate activity. The synthesis and evaluation of a series of compounds from one of the hits led to compound 21a with an IC

Identifiants

pubmed: 38784454
doi: 10.1039/d3md00713h
pii: d3md00713h
pmc: PMC11110760
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1722-1730

Informations de copyright

This journal is © The Royal Society of Chemistry.

Déclaration de conflit d'intérêts

There are no conflicts to declare.

Auteurs

Jason Muller (J)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Luca Marchisio (L)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Rym Attia (R)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Andy Zedet (A)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Robin Maradan (R)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Maxence Vallet (M)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Alison Aebischer (A)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Dominique Harakat (D)

URCATech, ICMR, CNRS UMR 7312 URCA Bât 18, BP 1039, Cedex 2 51687 Reims France.

François Senejoux (F)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Christophe Ramseyer (C)

Chrono-environnement UMR6249, CNRS Université de Franche-Comté F-25000 Besançon France.

Sarah Foley (S)

Chrono-environnement UMR6249, CNRS Université de Franche-Comté F-25000 Besançon France.

Bruno Cardey (B)

Chrono-environnement UMR6249, CNRS Université de Franche-Comté F-25000 Besançon France.

Corine Girard (C)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Marc Pudlo (M)

Université de Franche-Comté, EFS, INSERM, UMR RIGHT F-25000 Besançon France marc.pudlo@univ-fcomte.fr.

Classifications MeSH