Model-guided mechanism discovery and parameter selection for directed evolution.

ABSTRACT: Directed evolution is frequently applied to identify genetic variants with improvements in a single or multiple properties. When used to improve multiple properties simultaneously, a common strategy is to apply alternating rounds of selection criteria to enrich for variants with each desirable trait. In particular, counterselection, or selection against undesired traits rather than for desired ones, has been successfully employed in many studies. Although the sequence and stringency of alternating selective pressures for different traits are known to be highly consequential for the outcome of the screen, the effects of these parameters have not been systematically evaluated. We developed a method for producing a statistical modeling framework to elucidate these effects. The model uses sing

SUBMITTER: Stainbrook SC 

PROVIDER: S-EPMC8186486 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature