Tight-binding inhibition of jack bean α-mannosidase by glycoimidazole clusters.


Journal

Organic & biomolecular chemistry
ISSN: 1477-0539
Titre abrégé: Org Biomol Chem
Pays: England
ID NLM: 101154995

Informations de publication

Date de publication:
12 06 2019
Historique:
pubmed: 31 5 2019
medline: 7 1 2020
entrez: 31 5 2019
Statut: ppublish

Résumé

The best multivalent effects observed in glycosidase inhibition have been achieved so far with jack bean α-mannosidase (JBα-man) using iminosugar clusters based on weakly binding mismatching active-site-directed inhibiting epitopes (inhitopes) in the d-gluco series. Here, we synthesize and evaluate as JBα-man inhibitors a series of mono- to 14-valent glycoimidazoles with inhitopes displaying inhibition values up to the range of hundreds of nMs to study the impact of inhitope affinity on the multivalent effect. The most potent inhibitor of the series, a 14-valent mannoimidazole derivative, inhibits JBα-man with a nanomolar Ki value (2 ± 0.5 nM) and binding enhancements observed are, at best, relatively small (up to 25-fold on a valency-corrected basis). The results of this study support the fact that JBα-man-inhitope affinity and the strength of the inhibitory multivalent effect evolve in the opposite direction. The major impact of the glycoimidazole-based inhitope is found on the binding scenario; most of the synthesized mannoimidazole clusters as well as a 14-valent glucoimidazole derivative prove to be tight binding inhibitors of JBα-man.

Identifiants

pubmed: 31144700
doi: 10.1039/c9ob00826h
doi:

Substances chimiques

Imidazoles 0
alpha-Mannosidase EC 3.2.1.24

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5801-5817

Auteurs

Maëva M Pichon (MM)

Laboratoire d'Innovation Moléculaire et Applications (LIMA), Univ. de Strasbourg |Univ. de Haute-Alsace| CNRS (UMR 7042), Equipe de Synthèse Organique et Molécules Bioactives (SYBIO), ECPM, 25 Rue Becquerel, 67000 Strasbourg, France. philippe.compain@unistra.fr.

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Classifications MeSH