基因组
生化工程
计算生物学
过程(计算)
蛋白质工程
生物技术
生物催化
生物
计算机科学
食品加工
生物炼制
合成生物学
食品
过程开发
定向分子进化
化学
食品工业
蛋白质设计
定向进化
作者
Mathieu Schwartz,Ruben Ladeira,Fabrice Neiers,Adrien Nicolaı̈,Didier Hocquet,Camille Loupiac
标识
DOI:10.1021/acs.jafc.6c04349
摘要
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.
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