利用生物逆合成工具优化代谢路径

Optimizing Metabolic Pathways by Using Bioretrosynthesis Tools

生物催化因其反应条件温和、高效、特异性高和价格低廉等优点,已成为生物合成领域的一种重要技术。生物合成体系内存在一系列高度集成的代谢网络,多酶催化系统的研究在生物合成领域中已成为一个必然趋势,故基于已知产物探索其未知的多酶催化逆合成路径具有极大的意义。本综述首先介绍了多酶体系以及逆合成流程的概念,并举例说明了逆合成路径构建工具的设计方法及其优缺点。然后将其主要分为基于宿主的和无宿主的工具,对于这两种类型各列举了部分代表性逆合成工具,用以说明各自的设计流程以及差异。随后进一步讨论了人工智能助力多酶体系的可能性且对多酶路径构建工具的优化及发展进行了展望。

Biocatalysis has become an important technology in the field of biosynthesis because of its mild reaction conditions,high efficiency,high specificity and low price.There are a series of highly integrated metabolic networks in the biosynthesis system,and the study of multi-enzyme catalytic system has become an inevitable trend in the field of biosynthesis,so it is of great significance to explore the unknown multi-enzyme synthesis path based on the known products.In this review,the concepts of multi-enzyme system and retrosynthesis process are introduced.And the design methods,advantages and disadvantages of retrosynthesis tools are summarized.Then the tools are divided into host-based and host-less tools.For each of these two types,some representative retrosynthesis tools are listed to analyze their respective design processes and differences.Finally,the possibility of artificial intelligence-assisted multi-enzyme system is discussed and the optimization and development of multi-enzyme pathway construction tools are forecasted.