Improving the enzymatic activity and stability of N-carbamoyl hydrolase using deep learning approach.

ABSTRACT:

Background

Optically active D-amino acids are widely used as intermediates in the synthesis of antibiotics, insecticides, and peptide hormones. Currently, the two-enzyme cascade reaction is the most efficient way to produce D-amino acids using enzymes DHdt and DCase, but DCase is susceptible to heat inactivation. Here, to enhance the enzymatic activity and thermal stability of DCase, a rational design software "Feitian" was developed based on k_cat prediction using the deep learning approach.

Results

According to empirical design and prediction of "Feitian" software, six single-point mutants with high k_cat value were selected and successfully constructed by site-directed mutagenesis. Out of six, three mutants (Q4C, T212S, and A302C) showed higher enzymat

SUBMITTER: Zhang F 

PROVIDER: S-EPMC11151596 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature