Tack Drew S, Romantseva Eugenia F, Tonner Peter D, Pressman Abe, Rammohan Jayan, Strychalski Elizabeth A
National Institute of Standards and Technology, Gaithersburg, MD, 20898, USA.
Curr Opin Syst Biol. 2020 Oct;23:32-37. doi: 10.1016/j.coisb.2020.09.004. Epub 2020 Sep 20.
Precise engineering of biological systems requires quantitative, high-throughput measurements, exemplified by progress in directed evolution. New approaches allow high-throughput measurements of phenotypes and their corresponding genotypes. When integrated into directed evolution, these quantitative approaches enable the precise engineering of biological function. At the same time, the increasingly routine availability of large, high-quality data sets supports the integration of machine learning with directed evolution. Together, these advances herald striking capabilities for engineering biology.
生物系统的精确工程需要定量的高通量测量，定向进化的进展就是例证。新方法允许对表型及其相应基因型进行高通量测量。当整合到定向进化中时，这些定量方法能够实现生物功能的精确工程。与此同时，越来越常规可得的大规模高质量数据集支持机器学习与定向进化的整合。这些进展共同预示着工程生物学将具备惊人的能力。
