Secondary metabolite design and synthesis
次级代谢产物设计和合成

Project Profile 项目简介

We apply directed evolution systems to improve carbon fixation enzymes and leverage AI-driven de novo design to develop novel carbon-fixing enzymes and synthetic carbon fixation cycles. Through AI-assisted construction of artificial multi-enzyme complexes with engineered substrate channels, we achieve metabolic compartmentalization that enables coordinated optimization of photosynthetic efficiency and key metabolic fluxes (Qin et al., Journal of Integrative Plant Biology, 2025; Zhao et al., Current Opinion in Plant Biology, 2025).

基于定向进化系统的固碳酶改造，基于AI的新型固碳酶从头设计和新型碳固定循环设计，AI辅助构建人工多酶复合体产生底物通道，实现代谢区室化，以协同优化光合效率与关键代谢通量（Qin et al. 2025 Journal of Integrative Plant Biology， Zhao et al. 2025 Current Opinion in Plant Biology）。

代表性成果

1. Qin K., Ye X., Luo S., Fernie A. R. & Zhang Y. (2025). Engineering Carbon Assimilation in Plants. Journal of integrative plant biology 67(4): 926-948.
2. Qin K., Liu F., Zhang C., Deng R., Fernie A. R. & Zhang Y. (2025). Systems and Synthetic Biology for Plant Natural Product Pathway Elucidation. Cell reports 44(6): 115715.

Project Figure 项目图