Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes

蛋白质工程 生化工程 合理设计 计算生物学 蛋白质设计 生物 生物技术 生物化学 计算机科学 蛋白质结构 工程类 遗传学
作者
Xinglong Wang,Kangjie Xu,Yameng Tan,Song Liu,Jingwen Zhou
出处
期刊:International Journal of Molecular Sciences [MDPI AG]
卷期号:24 (4): 3827-3827 被引量:3
标识
DOI:10.3390/ijms24043827
摘要

Food enzymes have an important role in the improvement of certain food characteristics, such as texture improvement, elimination of toxins and allergens, production of carbohydrates, enhancing flavor/appearance characteristics. Recently, along with the development of artificial meats, food enzymes have been employed to achieve more diverse functions, especially in converting non-edible biomass to delicious foods. Reported food enzyme modifications for specific applications have highlighted the significance of enzyme engineering. However, using direct evolution or rational design showed inherent limitations due to the mutation rates, which made it difficult to satisfy the stability or specific activity needs for certain applications. Generating functional enzymes using de novo design, which highly assembles naturally existing enzymes, provides potential solutions for screening desired enzymes. Here, we describe the functions and applications of food enzymes to introduce the need for food enzymes engineering. To illustrate the possibilities of using de novo design for generating diverse functional proteins, we reviewed protein modelling and de novo design methods and their implementations. The future directions for adding structural data for de novo design model training, acquiring diversified training data, and investigating the relationship between enzyme-substrate binding and activity were highlighted as challenges to overcome for the de novo design of food enzymes.
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