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LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification

Lectins are non-covalent glycan-binding proteins mediating cellular interactions but their annotation in newly sequenced organisms is lacking. The limited size of functional domains and the low level of sequence similarity challenge usual bioinformatics tools. The identification of lectin domains in...

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Autores principales: Bonnardel, François, Mariethoz, Julien, Pérez, Serge, Imberty, Anne, Lisacek, Frédérique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778903/
https://www.ncbi.nlm.nih.gov/pubmed/33174598
http://dx.doi.org/10.1093/nar/gkaa1019
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author Bonnardel, François
Mariethoz, Julien
Pérez, Serge
Imberty, Anne
Lisacek, Frédérique
author_facet Bonnardel, François
Mariethoz, Julien
Pérez, Serge
Imberty, Anne
Lisacek, Frédérique
author_sort Bonnardel, François
collection PubMed
description Lectins are non-covalent glycan-binding proteins mediating cellular interactions but their annotation in newly sequenced organisms is lacking. The limited size of functional domains and the low level of sequence similarity challenge usual bioinformatics tools. The identification of lectin domains in proteomes requires the manual curation of sequence alignments based on structural folds. A new lectin classification is proposed. It is built on three levels: (i) 35 lectin domain folds, (ii) 109 classes of lectins sharing at least 20% sequence similarity and (iii) 350 families of lectins sharing at least 70% sequence similarity. This information is compiled in the UniLectin platform that includes the previously described UniLectin3D database of curated lectin 3D structures. Since its first release, UniLectin3D has been updated with 485 additional 3D structures. The database is now complemented by two additional modules: PropLec containing predicted β-propeller lectins and LectomeXplore including predicted lectins from sequences of the NBCI-nr and UniProt for every curated lectin class. UniLectin is accessible at https://www.unilectin.eu/
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spelling pubmed-77789032021-01-06 LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification Bonnardel, François Mariethoz, Julien Pérez, Serge Imberty, Anne Lisacek, Frédérique Nucleic Acids Res Database Issue Lectins are non-covalent glycan-binding proteins mediating cellular interactions but their annotation in newly sequenced organisms is lacking. The limited size of functional domains and the low level of sequence similarity challenge usual bioinformatics tools. The identification of lectin domains in proteomes requires the manual curation of sequence alignments based on structural folds. A new lectin classification is proposed. It is built on three levels: (i) 35 lectin domain folds, (ii) 109 classes of lectins sharing at least 20% sequence similarity and (iii) 350 families of lectins sharing at least 70% sequence similarity. This information is compiled in the UniLectin platform that includes the previously described UniLectin3D database of curated lectin 3D structures. Since its first release, UniLectin3D has been updated with 485 additional 3D structures. The database is now complemented by two additional modules: PropLec containing predicted β-propeller lectins and LectomeXplore including predicted lectins from sequences of the NBCI-nr and UniProt for every curated lectin class. UniLectin is accessible at https://www.unilectin.eu/ Oxford University Press 2020-11-11 /pmc/articles/PMC7778903/ /pubmed/33174598 http://dx.doi.org/10.1093/nar/gkaa1019 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Bonnardel, François
Mariethoz, Julien
Pérez, Serge
Imberty, Anne
Lisacek, Frédérique
LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification
title LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification
title_full LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification
title_fullStr LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification
title_full_unstemmed LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification
title_short LectomeXplore, an update of UniLectin for the discovery of carbohydrate-binding proteins based on a new lectin classification
title_sort lectomexplore, an update of unilectin for the discovery of carbohydrate-binding proteins based on a new lectin classification
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778903/
https://www.ncbi.nlm.nih.gov/pubmed/33174598
http://dx.doi.org/10.1093/nar/gkaa1019
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