Measurements drive progress in directed evolution for precise engineering of biological systems.

Autor: Tack DS; National Institute of Standards and Technology, Gaithersburg, MD, 20898, USA., Romantseva EF; National Institute of Standards and Technology, Gaithersburg, MD, 20898, USA., Tonner PD; National Institute of Standards and Technology, Gaithersburg, MD, 20898, USA., Pressman A; National Institute of Standards and Technology, Gaithersburg, MD, 20898, USA., Rammohan J; National Institute of Standards and Technology, Gaithersburg, MD, 20898, USA., Strychalski EA; National Institute of Standards and Technology, Gaithersburg, MD, 20898, USA.
Jazyk: angličtina
Zdroj: Current opinion in systems biology [Curr Opin Syst Biol] 2020 Oct; Vol. 23, pp. 32-37. Date of Electronic Publication: 2020 Sep 20.
DOI: 10.1016/j.coisb.2020.09.004
Abstrakt: 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.
Competing Interests: Conflict of interest statement Nothing declared.
Databáze: MEDLINE
Externí odkaz: