Unknown

Dataset Information

In silico rational design and systems engineering of disulfide bridges in the catalytic domain of an alkaline α-amylase from Alkalimonas amylolytica to improve thermostability.


ABSTRACT: High thermostability is required for alkaline α-amylases to maintain high catalytic activity under the harsh conditions used in textile production. In this study, we attempted to improve the thermostability of an alkaline α-amylase from Alkalimonas amylolytica through in silico rational design and systems engineering of disulfide bridges in the catalytic domain. Specifically, 7 residue pairs (P35-G426, Q107-G167, G116-Q120, A147-W160, G233-V265, A332-G370, and R436-M480) were chosen as engineering targets for disulfide bridge formation, and the respective residues were replaced with cysteines. Three single disulfide bridge mutants-P35C-G426C, G116C-Q120C, and R436C-M480C-of the 7 showed significantly enhanced thermostability. Combinational mutations were subsequently assessed, and the trip

SUBMITTER: Liu L 

PROVIDER: S-EPMC3911192 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature