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Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics
Glycosylation plays critical roles in various biological processes and is closely related to diseases. Deciphering the glycocode in diverse cells and tissues offers opportunities to develop new disease biomarkers and more effective recombinant therapeutics. In the past few decades, with the developm...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556027/ https://www.ncbi.nlm.nih.gov/pubmed/32937895 http://dx.doi.org/10.3390/ijms21186727 |
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author | Li, Xing Xu, Zhijue Hong, Xiaokun Zhang, Yan Zou, Xia |
author_facet | Li, Xing Xu, Zhijue Hong, Xiaokun Zhang, Yan Zou, Xia |
author_sort | Li, Xing |
collection | PubMed |
description | Glycosylation plays critical roles in various biological processes and is closely related to diseases. Deciphering the glycocode in diverse cells and tissues offers opportunities to develop new disease biomarkers and more effective recombinant therapeutics. In the past few decades, with the development of glycobiology, glycomics, and glycoproteomics technologies, a large amount of glycoscience data has been generated. Subsequently, a number of glycobiology databases covering glycan structure, the glycosylation sites, the protein scaffolds, and related glycogenes have been developed to store, analyze, and integrate these data. However, these databases and tools are not well known or widely used by the public, including clinicians and other researchers who are not in the field of glycobiology, but are interested in glycoproteins. In this study, the representative databases of glycan structure, glycoprotein, glycan–protein interactions, glycogenes, and the newly developed bioinformatic tools and integrated portal for glycoproteomics are reviewed. We hope this overview could assist readers in searching for information on glycoproteins of interest, and promote further clinical application of glycobiology. |
format | Online Article Text |
id | pubmed-7556027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75560272020-10-19 Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics Li, Xing Xu, Zhijue Hong, Xiaokun Zhang, Yan Zou, Xia Int J Mol Sci Review Glycosylation plays critical roles in various biological processes and is closely related to diseases. Deciphering the glycocode in diverse cells and tissues offers opportunities to develop new disease biomarkers and more effective recombinant therapeutics. In the past few decades, with the development of glycobiology, glycomics, and glycoproteomics technologies, a large amount of glycoscience data has been generated. Subsequently, a number of glycobiology databases covering glycan structure, the glycosylation sites, the protein scaffolds, and related glycogenes have been developed to store, analyze, and integrate these data. However, these databases and tools are not well known or widely used by the public, including clinicians and other researchers who are not in the field of glycobiology, but are interested in glycoproteins. In this study, the representative databases of glycan structure, glycoprotein, glycan–protein interactions, glycogenes, and the newly developed bioinformatic tools and integrated portal for glycoproteomics are reviewed. We hope this overview could assist readers in searching for information on glycoproteins of interest, and promote further clinical application of glycobiology. MDPI 2020-09-14 /pmc/articles/PMC7556027/ /pubmed/32937895 http://dx.doi.org/10.3390/ijms21186727 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Li, Xing Xu, Zhijue Hong, Xiaokun Zhang, Yan Zou, Xia Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics |
title | Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics |
title_full | Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics |
title_fullStr | Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics |
title_full_unstemmed | Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics |
title_short | Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics |
title_sort | databases and bioinformatic tools for glycobiology and glycoproteomics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556027/ https://www.ncbi.nlm.nih.gov/pubmed/32937895 http://dx.doi.org/10.3390/ijms21186727 |
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