Li Yuemin, Yu Hongwei, Ye Lidan
Key Laboratory of Biomass Chemical Engineering (Education Ministry), College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.
Institute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.
Biotechnol Bioeng. 2025 Aug;122(8):1966-1981. doi: 10.1002/bit.29023. Epub 2025 May 8.
Cytochrome P450 enzymes (P450s) are versatile biocatalysts with applications spanning pharmaceutical development and natural product biosynthesis. A critical bottleneck in P450-mediated reactions is the electron transfer process, which often limits catalytic efficiency and promotes uncoupling events leading to reactive oxygen species (ROS) formation. This review comprehensively examines recent protein engineering strategies aimed at enhancing electron transfer efficiency in P450 systems. We explore the design and application of different fusion constructs, which improve proximity between the P450 enzyme and its redox partners (RPs), as well as scaffold-mediated protein assembly, enabling precise spatial organization of P450s and RPs. Furthermore, we discuss targeted modifications at the P450-RP interaction interface and optimization of electron transfer pathways through site-directed mutagenesis and directed evolution. These strategies enhance catalytic activity, improve coupling efficiency, and reduce ROS formation. Finally, we address the remaining challenges in understanding and engineering P450 electron transfer, and discuss the future directions, emphasizing the need for advanced computational modeling, structural characterization, and integration of synthetic and systems biology approaches.
细胞色素P450酶(P450s)是多功能生物催化剂,其应用涵盖药物开发和天然产物生物合成。P450介导反应中的一个关键瓶颈是电子转移过程,该过程常常限制催化效率并促进解偶联事件,导致活性氧(ROS)形成。本综述全面考察了旨在提高P450系统中电子转移效率的近期蛋白质工程策略。我们探讨了不同融合构建体的设计与应用,其改善了P450酶与其氧化还原伙伴(RPs)之间的接近度,以及支架介导的蛋白质组装,实现了P450s和RPs的精确空间组织。此外,我们讨论了在P450-RP相互作用界面处的靶向修饰以及通过定点诱变和定向进化对电子转移途径的优化。这些策略增强了催化活性,提高了偶联效率,并减少了ROS形成。最后,我们阐述了在理解和工程化P450电子转移方面仍然存在的挑战,并讨论了未来的方向,强调了先进计算建模、结构表征以及合成生物学和系统生物学方法整合的必要性。