Discovery of a dipeptide epimerase enzymatic function guided by homology modeling and virtual screening.

ABSTRACT: We have developed a computational approach to aid the assignment of enzymatic function for uncharacterized proteins that uses homology modeling to predict the structure of the binding site and in silico docking to identify potential substrates. We apply this method to proteins in the functionally diverse enolase superfamily that are homologous to the characterized L-Ala-D/L-Glu epimerase from Bacillus subtilis. In particular, a protein from Thermotoga martima was predicted to have different substrate specificity, which suggests that it has a different, but as yet unknown, biological function. This prediction was experimentally confirmed, resulting in the assignment of epimerase activity for L-Ala-D/L-Phe, L-Ala-D/L-Tyr, and L-Ala-D/L-His, whereas the enzyme is annotated incorrectly in GenB

SUBMITTER: Kalyanaraman C 

PROVIDER: S-EPMC2714228 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature