AI-driven de novo enzyme design: Strategies, applications, and future prospects

• 全文链接

AI驱动的酶从头设计：策略、应用与未来展望

关键词：

来源：

Biotechnology Advances

全文链接：

//agri.nais.net.cn/topic/downloadFile/03452892-1b03-47e5-9e8f-82522512eac4

来源地址：

https://www.sciencedirect.com/science/article/pii/S0734975025000898?via%3Dihub

资源所属：

饲料用酶工程

类型：

学术文献

语种：

英语

原文发布日期：

2025-05-12

摘要：

Enzymes are indispensable for biological processes and diverse applications across industries. While top-down modification strategies, such as directed evolution, have achieved remarkable success in optimizing existing enzymes, bottom-up de novo enzyme design has emerged as a transformative approach for engineering novel enzymes with customized catalytic functions, independent of natural templates. Recent advancements in artificial intelligence (AI) and computational power have significantly accelerated this field, enabling breakthroughs in enzyme engineering. These technologies facilitate the rapid generation of enzyme structures and amino acid sequences optimized for specific functions, thereby enhancing design efficiency. They also support functional validation and activity optimization, improving the catalytic performance, stability, and robustness of de novo designed enzymes. This review highlights recent advancements in AI-driven de novo enzyme design, discusses strategies for validation and optimization, and examines the challenges and future prospects of integrating these technologies into enzyme development.