Literature DB >> 18615662

Computational analysis of glycoside hydrolase family 1 specificities.

Anthony D Hill1, Peter J Reilly.   

Abstract

Glycoside hydrolase family 1 consists of beta-glucosidases, beta-galactosidases, 6-phospho-beta-galactosidases, myrosinases, and other enzymes having similar primary and tertiary structures but diverse specificities. Among these enzymes, beta-glucosidases hydrolyze cellobiose to glucose, and therefore they are key players in any cellulose to glucose process. All family members attack beta-glycosidic bonds between a pyranosyl glycon and an aglycon, but most have little specificity for the aglycon or for the bond configuration. Furthermore, glycon specificity is not absolute. Sixteen family members (six beta-glucosidases, two cyanogenic beta-glucosidases, one 6-phospho-beta-galactosidase, two myrosinases, and five beta-glycosidases) have known tertiary structures. We have used automated docking to computationally bind disaccharides with allopyranosyl, galactopyranosyl, glucopyranosyl, mannopyranosyl, 6-phosphogalactopyranosyl, and 6-phosphoglucopyranosyl glycons, all linked by beta-(1,2), beta-(1,3), beta-(1,4), and beta-(1,6)-glycosidic bonds to beta-glucopyranoside aglycons, along with beta-(1,1-thio)-allopyranosyl, -galactopyranosyl, -glucopyranosyl, and -mannopyranosyl) beta-glucopyranosides, into all of these structures to investigate the structural determinants of their enzyme specificities. The following are the eight active-site residues: Glu191, Thr194, Phe205, Asn285, Arg336, Asn376, Trp378, and Trp465 (Zea mays beta-glucosidase numbering), that control a significant amount of glycon specificity.

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Year:  2008        PMID: 18615662     DOI: 10.1002/bip.21052

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  10 in total

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2.  Functional characterization, homology modeling and docking studies of β-glucosidase responsible for bioactivation of cyanogenic hydroxynitrile glucosides from Leucaena leucocephala (subabul).

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3.  Characterization of a novel metagenome-derived 6-phospho-β-glucosidase from black liquor sediment.

Authors:  Chunyu Yang; Yu Niu; Chunfang Li; Deyu Zhu; Wei Wang; Xinqiang Liu; Bin Cheng; Cuiqing Ma; Ping Xu
Journal:  Appl Environ Microbiol       Date:  2013-01-18       Impact factor: 4.792

4.  Phylogenomically guided identification of industrially relevant GH1 β-glucosidases through DNA synthesis and nanostructure-initiator mass spectrometry.

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Journal:  ACS Chem Biol       Date:  2014-07-17       Impact factor: 5.100

5.  A novel β-glucosidase from Saccharophagus degradans 2-40T for the efficient hydrolysis of laminarin from brown macroalgae.

Authors:  Dong Hyun Kim; Do Hyoung Kim; Sang-Hyun Lee; Kyoung Heon Kim
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6.  Recovery of the Peptidoglycan Turnover Product Released by the Autolysin Atl in Staphylococcus aureus Involves the Phosphotransferase System Transporter MurP and the Novel 6-phospho-N-acetylmuramidase MupG.

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Journal:  Front Microbiol       Date:  2018-11-16       Impact factor: 5.640

7.  Probing the role of an invariant active site His in family GH1 β-glycosidases.

Authors:  Andrea Strazzulli; Giuseppe Perugino; Marialuisa Mazzone; Mosè Rossi; Stephen G Withers; Marco Moracci
Journal:  J Enzyme Inhib Med Chem       Date:  2019-12       Impact factor: 5.051

8.  Comparative genomic analysis of the microbiome [corrected] of herbivorous insects reveals eco-environmental adaptations: biotechnology applications.

Authors:  Weibing Shi; Shangxian Xie; Xueyan Chen; Su Sun; Xin Zhou; Lantao Liu; Peng Gao; Nikos C Kyrpides; En-Gyu No; Joshua S Yuan
Journal:  PLoS Genet       Date:  2013-01-10       Impact factor: 5.917

9.  Expression of the β-glucosidase gene Pgβglu-1 underpins natural resistance of white spruce against spruce budworm.

Authors:  Melissa H Mageroy; Geneviève Parent; Gaby Germanos; Isabelle Giguère; Nathalie Delvas; Halim Maaroufi; Éric Bauce; Joerg Bohlmann; John J Mackay
Journal:  Plant J       Date:  2014-11-06       Impact factor: 6.417

10.  Coupled high-throughput functional screening and next generation sequencing for identification of plant polymer decomposing enzymes in metagenomic libraries.

Authors:  Mari Nyyssönen; Huu M Tran; Ulas Karaoz; Claudia Weihe; Masood Z Hadi; Jennifer B H Martiny; Adam C Martiny; Eoin L Brodie
Journal:  Front Microbiol       Date:  2013-09-23       Impact factor: 5.640

  10 in total

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