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GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology
MOTIVATION: The ‘glycoEnzymes’ include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Currently, there is no established ontology to describe glycoEnzyme properties and to relate them to glycan biosynthesis pathways. RESULTS: We present GlycoEnzO...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750110/ https://www.ncbi.nlm.nih.gov/pubmed/36282863 http://dx.doi.org/10.1093/bioinformatics/btac704 |
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author | Groth, Theodore Diehl, Alexander D Gunawan, Rudiyanto Neelamegham, Sriram |
author_facet | Groth, Theodore Diehl, Alexander D Gunawan, Rudiyanto Neelamegham, Sriram |
author_sort | Groth, Theodore |
collection | PubMed |
description | MOTIVATION: The ‘glycoEnzymes’ include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Currently, there is no established ontology to describe glycoEnzyme properties and to relate them to glycan biosynthesis pathways. RESULTS: We present GlycoEnzOnto, an ontology describing 403 human glycoEnzymes curated along 139 glycosylation pathways, 134 molecular functions and 22 cellular compartments. The pathways described regulate nucleotide-sugar metabolism, glycosyl-substrate/donor transport, glycan biosynthesis and degradation. The role of each enzyme in the glycosylation initiation, elongation/branching and capping/termination phases is described. IUPAC linear strings present systematic human/machine-readable descriptions of individual reaction steps and enable automated knowledge-based curation of biochemical networks. All GlycoEnzOnto knowledge is integrated with the Gene Ontology biological processes. GlycoEnzOnto enables improved transcript overrepresentation analyses and glycosylation pathway identification compared to other available schema, e.g. KEGG and Reactome. Overall, GlycoEnzOnto represents a holistic glycoinformatics resource for systems-level analyses. AVAILABILITY AND IMPLEMENTATION: https://github.com/neel-lab/GlycoEnzOnto. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9750110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97501102022-12-15 GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology Groth, Theodore Diehl, Alexander D Gunawan, Rudiyanto Neelamegham, Sriram Bioinformatics Original Paper MOTIVATION: The ‘glycoEnzymes’ include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Currently, there is no established ontology to describe glycoEnzyme properties and to relate them to glycan biosynthesis pathways. RESULTS: We present GlycoEnzOnto, an ontology describing 403 human glycoEnzymes curated along 139 glycosylation pathways, 134 molecular functions and 22 cellular compartments. The pathways described regulate nucleotide-sugar metabolism, glycosyl-substrate/donor transport, glycan biosynthesis and degradation. The role of each enzyme in the glycosylation initiation, elongation/branching and capping/termination phases is described. IUPAC linear strings present systematic human/machine-readable descriptions of individual reaction steps and enable automated knowledge-based curation of biochemical networks. All GlycoEnzOnto knowledge is integrated with the Gene Ontology biological processes. GlycoEnzOnto enables improved transcript overrepresentation analyses and glycosylation pathway identification compared to other available schema, e.g. KEGG and Reactome. Overall, GlycoEnzOnto represents a holistic glycoinformatics resource for systems-level analyses. AVAILABILITY AND IMPLEMENTATION: https://github.com/neel-lab/GlycoEnzOnto. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-10-25 /pmc/articles/PMC9750110/ /pubmed/36282863 http://dx.doi.org/10.1093/bioinformatics/btac704 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Groth, Theodore Diehl, Alexander D Gunawan, Rudiyanto Neelamegham, Sriram GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology |
title | GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology |
title_full | GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology |
title_fullStr | GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology |
title_full_unstemmed | GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology |
title_short | GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology |
title_sort | glycoenzonto: a glycoenzyme pathway and molecular function ontology |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750110/ https://www.ncbi.nlm.nih.gov/pubmed/36282863 http://dx.doi.org/10.1093/bioinformatics/btac704 |
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