About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Key aromatic residues at subsites +2 and +3 of glycoside hydrolase family 31 α-glucosidase contribute to recognition of long-chain substrates

From

Hokkaido University1

Memuro Upland Farming Research Division2

Department of Systems Biology, Technical University of Denmark3

Enzyme and Protein Chemistry, Department of Systems Biology, Technical University of Denmark4

Glycoside hydrolase family 31 α-glucosidases (31AGs) show various specificities for maltooligosaccharides according to chain length. Aspergillus niger α-glucosidase (ANG) is specific for short-chain substrates with the highest kcat/Km for maltotriose, while sugar beet α-glucosidase (SBG) prefers long-chain substrates and soluble starch.

Multiple sequence alignment of 31AGs indicated a high degree of diversity at the long loop (N-loop), which forms one wall of the active pocket. Mutations of Phe236 in the N-loop of SBG (F236A/S) decreased kcat/Km values for substrates longer than maltose. Providing a phenylalanine residue at a similar position in ANG (T228F) altered the kcat/Km values for maltooligosaccharides compared with wild-type ANG, i.e., the mutant enzyme showed the highest kcat/Km value for maltotetraose.

Subsite affinity analysis indicated that modification of subsite affinities at +2 and +3 caused alterations of substrate specificity in the mutant enzymes. These results indicated that the aromatic residue in the N-loop contributes to determining the chain-length specificity of 31AGs.

Language: English
Year: 2013
Pages: 329-335
ISSN: 18782434 , 00063002 , 18781454 and 15709639
Types: Journal article
DOI: 10.1016/j.bbapap.2012.08.007
ORCIDs: Svensson, Birte

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis