Leveraging artificial intelligence for efficient microbial production

作者：Xinyu Gong, Jianli Zhang, Qi Gan, Wei Ruan, Tianming Liu, Yajun Yan · 发表于：Bioresource Technology · 年份：2025 · DOI：10.1016/j.biortech.2025.133286 · 被引用次数：10 · 研究领域：Microbial Metabolic Engineering and Bioproduction、Enzyme Catalysis and Immobilization、Advanced Proteomics Techniques and Applications

Microbial production is a sustainable and economical approach to producing value-added compounds by functional enzyme application, precise metabolism regulation, effective strain development, and optimal bioprocess control. However, practical microbial production faces multiple problems. Specifically, insufficient functional enzymes limit biosynthetic pathway construction, while inadequate metabolic regulatory tools and suboptimal bioprocess control constrain productivity. The incorporation of artificial intelligence (AI) technologies addresses these problems by providing predictions of unexplored biological knowledge and perspectives covering protein functions, structures, strain phenotypes, and fermentation conditions. This review highlights recent AI applications to microbial production focusing on AI-enabled protein mining, engineering, and upstream bioprocess development. Finally, we propose future directions of developing and applying AI technologies to better aid microbial production.