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A hierarchical classification of polysaccharide lyases for glycogenomics

Open access
Lombard, Vincent, Bernard, Thomas, Rancurel, Corinne, Brumer, Harry, Coutinho, Pedro M., Henrissat, Bernard·2010·Biochemical Journal

Abstract

Carbohydrate-active enzymes face huge substrate diversity in a highly selective manner using only a limited number of available folds. They are therefore subjected to multiple divergent and convergent evolutionary events. This and their frequent modularity render their functional annotation in genomes difficult in a number of cases. In the present paper, a classification of polysaccharide lyases (the enzymes that cleave polysaccharides using an elimination instead of a hydrolytic mechanism) is shown thoroughly for the first time. Based on the analysis of a large panel of experimentally characterized polysaccharide lyases, we examined the correlation of various enzyme properties with the three levels of the classification: fold, family and subfamily. The resulting hierarchical classification, which should help annotate relevant genes in genomic efforts, is available and constantly updated at the Carbohydrate-Active Enzymes Database (http://www.cazy.org).

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Metadata

Authors
Lombard, V., Bernard, T., Rancurel, C., Brumer, H., Coutinho, P. M., & Henrissat, B.
Venue
Biochemical Journal
Published
2010-11-25
Volume
432
Issue
3
Pages
437-444
ISSN
  • 0264-6021 (ISSN-L)
  • 1470-8728
OpenAlex
W1999558053
Cited by
381
References
51
FWCI
17.10
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A hierarchical classification of polysaccharide lyases for glycogenomics. https://app.cochat.ai/papers/10.1042/bj20101185
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Lombard, V., Bernard, T., Rancurel, C., Brumer, H., Coutinho, P. M., & Henrissat, B. (2010). A hierarchical classification of polysaccharide lyases for glycogenomics. Biochemical Journal. https://doi.org/10.1042/bj20101185

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.