Metabolic engineering involves the engineering and optimization of processes from single-cell to fermentation in order to increase production of valuable chemicals for health, food, energy, materials and others. A systems approach to metabolic engineering has gained traction in recent years thanks to advances in strain engineering, leading to an accelerated scaling from rapid prototyping to industrial production. Metabolic engineering is nowadays on track towards a truly manufacturing technology, with reduced times from conception to production enabled by automated protocols for DNA assembly of metabolic pathways in engineered producer strains. In this review, we discuss how the success of the metabolic engineering pipeline often relies on retrobiosynthetic protocols able to identify promising production routes and dynamic regulation strategies through automated biodesign algorithms, which are subsequently assembled as embedded integrated genetic circuits in the host strain. Those approaches are orchestrated by an experimental design strategy that provides optimal scheduling planning of the DNA assembly, rapid prototyping and, ultimately, brings forward an accelerated Design-Build-Test-Learn cycle and the overall optimization of the biomanufacturing process. Achieving such a vision will address the increasingly compelling demand in our society for delivering valuable biomolecules in an affordable, inclusive and sustainable bioeconomy.

代谢工程涉及从单细胞到发酵的过程的工程和优化，以增加对健康、食品、能源、材料等有价值的化学品的产量。近年来，由于菌株工程的进步，代谢工程的系统方法获得了关注，导致从快速原型设计到工业生产的加速扩展。如今，代谢工程正朝着真正的制造技术迈进，通过在工程生产菌株中进行代谢途径 DNA 组装的自动化协议，缩短了从概念到生产的时间。在这次审查中，我们讨论了代谢工程管道的成功如何通常依赖于能够通过自动生物设计算法识别有希望的生产路线和动态调节策略的逆生物合成协议，这些算法随后被组装为宿主菌株中的嵌入式集成遗传电路。这些方法由实验设计策略精心策划，该策略提供 DNA 组装的最佳调度规划、快速原型设计，并最终带来加速的设计-构建-测试-学习周期和生物制造过程的整体优化。实现这样的愿景将满足我们社会日益迫切的需求，即在负担得起、包容和可持续的生物经济中提供有价值的生物分子。随后将其组装为宿主菌株中的嵌入式集成遗传电路。这些方法由实验设计策略精心策划，该策略提供 DNA 组装的最佳调度规划、快速原型设计，并最终带来加速的设计-构建-测试-学习周期和生物制造过程的整体优化。实现这样的愿景将满足我们社会日益迫切的需求，即在负担得起、包容和可持续的生物经济中提供有价值的生物分子。随后将其组装为宿主菌株中的嵌入式集成遗传电路。这些方法由实验设计策略精心策划，该策略提供 DNA 组装的最佳调度规划、快速原型设计，并最终带来加速的设计-构建-测试-学习周期和生物制造过程的整体优化。实现这样的愿景将满足我们社会日益迫切的需求，即在负担得起、包容和可持续的生物经济中提供有价值的生物分子。带来了加速的设计-构建-测试-学习周期和生物制造过程的整体优化。实现这样的愿景将满足我们社会日益迫切的需求，即在负担得起、包容和可持续的生物经济中提供有价值的生物分子。带来了加速的设计-构建-测试-学习周期和生物制造过程的整体优化。实现这样的愿景将满足我们社会日益迫切的需求，即在负担得起、包容和可持续的生物经济中提供有价值的生物分子。