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Large-Scale Analyses of Glycosylation in Cellulases
Authors:Fengfeng Zhou  Victor Olman  Ying Xu  Computational Systems Biology Laboratory
Institution:[1]Computational Systems Biology Laboratory, Department of Biochemistry and Molecular Biology/Institute of Bioinformatics, University of Georgia, Athens, GA 30602-7229, USA [2]BioEnergy Science Center, Oak Ridge National Laboratory, Oak Ridge, TN 37830-8050, USA.
Abstract:Cellulases are important glycosyl hydrolases (GHs) that hydrolyze cellulose polymers into smaller oligosaccharides by breaking the cellulose β (1→4) bonds, and they are widely used to produce cellulosic ethanol from the plant biomass. N-linked and O-linked glycosylations were proposed to impact the catalytic efficiency, cellulose binding affinity and the stability of cellulases based on observations of individual cellulases. As far as we know, there has not been any systematic analysis of the distributions of N-linked and O-linked glycosylated residues in cellulases, mainly due to the limited annotations of the relevant functional domains and the glycosylated residues. We have computationally annotated the functional domains and glycosylated residues in cellulases, and conducted a systematic analysis of the distributions of the N-linked and O-linked glycosylated residues in these enzymes. Many N-linked glycosylated residues were known to be in the GH domains of cellulases, but they are there probably just by chance, since the GH domain usually occupies more than half of the sequence length of a cellulase. Our analysis indicates that the O-linked glycosylated residues are significantly enriched in the linker regions between the carbohydrate binding module (CBM) domains and GH domains of cellulases. Possible mechanisms are discussed.Key words: glycosylation, cellulase, large-scale analyses
Keywords:glycosylation  cellulase  large-scale analyses
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