定向分子进化
生物信息学
定向进化
营养不良
计算生物学
合成生物学
重编程
蛋白质工程
系统生物学
生物
蛋白质表达
代谢工程
选择(遗传算法)
计算机科学
生物化学
细胞
遗传学
酶
基因
机器学习
突变体
作者
Jiuzhou Chen,Yu Wang,Ping Zheng,Jibin Sun
标识
DOI:10.1016/j.tibtech.2022.01.010
摘要
Selecting desired variants from protein libraries is always a challenge for directed evolution. Engineering synthetic auxotrophs to establish a link between cell growth and protein property allows growth-coupled in vivo selection, which is high throughput and compatible with continuous evolution. In silico simulation-guided metabolic reprogramming will help in the design of customized synthetic auxotrophs.
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