Fiche publication
Date publication
juillet 2026
Journal
Journal of agricultural and food chemistry
Auteurs
Membres identifiés du Cancéropôle Est :
Pr HOCQUET Didier
,
Dr NICOLAI Adrien
Tous les auteurs :
Schwartz M, Ladeira R, Neiers F, Nicolaï A, Hocquet D, Loupiac C
Lien Pubmed
Résumé
Food enzymology is entering a new era driven by the convergence of metagenomics, artificial intelligence, and synthetic biology. While traditional food processes rely on a limited repertoire of established biocatalysts, metagenomic and multiomics approaches now provide access to vast reservoirs of unexplored enzymatic diversity. Simultaneously, advances in protein structure prediction, functional modeling, and de novo protein design are transforming enzyme discovery from a largely empirical process to a predictive discipline. In this Perspective, we discuss how these technologies will enable the development of tailored biocatalysts for sustainable, precise, and next-generation food processing applications.
Mots clés
artificial intelligence, enzyme engineering, food enzymes, metagenome mining, protein structure prediction
Référence
J Agric Food Chem. 2026 07 16;:
