合成基因线路的工程化设计研究进展与展望

高歌, 边旗, 王宝俊

Synthetic genetic circuit engineering: principles, advances and prospects

GAO Ge, BIAN Qi, WANG Baojun

图4 合成基因线路的自动化“设计-构建-测试-学习”循环 （“构建与测试”的生物铸造厂设施摘自文献［97］，“学习”的模型改编自文献［98］）

Fig. 4 An automated "design-build-test-learn" cycle for genetic circuit engineering. (Automated instrumentation in biofoundries is adapted from reference [97]. The neural network-based deep learning model is adapted from reference [98].)