Statistical Coupling Analysis-Guided Library Design for the Discovery of Mutant Luciferases.

ABSTRACT: Directed evolution has proven to be an invaluable tool for protein engineering; however, there is still a need for developing new approaches to continue to improve the efficiency and efficacy of these methods. Here, we demonstrate a new method for library design that applies a previously developed bioinformatic method, Statistical Coupling Analysis (SCA). SCA uses homologous enzymes to identify amino acid positions that are mutable and functionally important and engage in synergistic interactions between amino acids. We use SCA to guide a library of the protein luciferase and demonstrate that, in a single round of selection, we can identify luciferase mutants with several valuable properties. Specifically, we identify luciferase mutants that possess both red-shifted emission spectra and im

SUBMITTER: Liu MD 

PROVIDER: S-EPMC6192264 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature