Sequence homolog-based molecular engineering for shifting the enzymatic pH optimum.

ABSTRACT: Cell-free synthetic biology system organizes multiple enzymes (parts) from different sources to implement unnatural catalytic functions. Highly adaption between the catalytic parts is crucial for building up efficient artificial biosynthetic systems. Protein engineering is a powerful technology to tailor various enzymatic properties including catalytic efficiency, substrate specificity, temperature adaptation and even achieve new catalytic functions. However, altering enzymatic pH optimum still remains a challenging task. In this study, we proposed a novel sequence homolog-based protein engineering strategy for shifting the enzymatic pH optimum based on statistical analyses of sequence-function relationship data of enzyme family. By two statistical procedures, artificial neural networks (A

SUBMITTER: Ma F 

PROVIDER: S-EPMC5640797 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature