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GTDB: an integrated resource for glycosyltransferase sequences and annotations
Glycosyltransferases (GTs), a large class of carbohydrate-active enzymes, adds glycosyl moieties to various substrates to generate multiple bioactive compounds, including natural products with pharmaceutical or agrochemical values. Here, we first collected comprehensive information on GTs, including...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296393/ https://www.ncbi.nlm.nih.gov/pubmed/32542364 http://dx.doi.org/10.1093/database/baaa047 |
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author | Zhou, Chenfen Xu, Qingwei He, Sheng Ye, Wei Cao, Ruifang Wang, Pengyu Ling, Yunchao Yan, Xing Wang, Qingzhong Zhang, Guoqing |
author_facet | Zhou, Chenfen Xu, Qingwei He, Sheng Ye, Wei Cao, Ruifang Wang, Pengyu Ling, Yunchao Yan, Xing Wang, Qingzhong Zhang, Guoqing |
author_sort | Zhou, Chenfen |
collection | PubMed |
description | Glycosyltransferases (GTs), a large class of carbohydrate-active enzymes, adds glycosyl moieties to various substrates to generate multiple bioactive compounds, including natural products with pharmaceutical or agrochemical values. Here, we first collected comprehensive information on GTs, including amino acid sequences, coding region sequences, available tertiary structures, protein classification families, catalytic reactions and metabolic pathways. Then, we developed sequence search and molecular docking processes for GTs, resulting in a GTs database (GTDB). In the present study, 520 179 GTs from approximately 21 647 species that involved in 394 kinds of different reactions were deposited in GTDB. GTDB has the following useful features: (i) text search is provided for retrieving the complete details of a query by combining multiple identifiers and data sources; (ii) a convenient browser allows users to browse data by different classifications and download data in batches; (iii) BLAST is offered for searching against pre-defined sequences, which can facilitate the annotation of the biological functions of query GTs; and lastly, (iv) GTdock using AutoDock Vina performs docking simulations of several GTs with the same single acceptor and displays the results based on 3Dmol.js allowing easy view of models. |
format | Online Article Text |
id | pubmed-7296393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72963932020-06-22 GTDB: an integrated resource for glycosyltransferase sequences and annotations Zhou, Chenfen Xu, Qingwei He, Sheng Ye, Wei Cao, Ruifang Wang, Pengyu Ling, Yunchao Yan, Xing Wang, Qingzhong Zhang, Guoqing Database (Oxford) Original Article Glycosyltransferases (GTs), a large class of carbohydrate-active enzymes, adds glycosyl moieties to various substrates to generate multiple bioactive compounds, including natural products with pharmaceutical or agrochemical values. Here, we first collected comprehensive information on GTs, including amino acid sequences, coding region sequences, available tertiary structures, protein classification families, catalytic reactions and metabolic pathways. Then, we developed sequence search and molecular docking processes for GTs, resulting in a GTs database (GTDB). In the present study, 520 179 GTs from approximately 21 647 species that involved in 394 kinds of different reactions were deposited in GTDB. GTDB has the following useful features: (i) text search is provided for retrieving the complete details of a query by combining multiple identifiers and data sources; (ii) a convenient browser allows users to browse data by different classifications and download data in batches; (iii) BLAST is offered for searching against pre-defined sequences, which can facilitate the annotation of the biological functions of query GTs; and lastly, (iv) GTdock using AutoDock Vina performs docking simulations of several GTs with the same single acceptor and displays the results based on 3Dmol.js allowing easy view of models. Oxford University Press 2020-06-16 /pmc/articles/PMC7296393/ /pubmed/32542364 http://dx.doi.org/10.1093/database/baaa047 Text en © The Author(s) 2020. Published by Oxford University Press. 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 | Original Article Zhou, Chenfen Xu, Qingwei He, Sheng Ye, Wei Cao, Ruifang Wang, Pengyu Ling, Yunchao Yan, Xing Wang, Qingzhong Zhang, Guoqing GTDB: an integrated resource for glycosyltransferase sequences and annotations |
title | GTDB: an integrated resource for glycosyltransferase sequences and annotations |
title_full | GTDB: an integrated resource for glycosyltransferase sequences and annotations |
title_fullStr | GTDB: an integrated resource for glycosyltransferase sequences and annotations |
title_full_unstemmed | GTDB: an integrated resource for glycosyltransferase sequences and annotations |
title_short | GTDB: an integrated resource for glycosyltransferase sequences and annotations |
title_sort | gtdb: an integrated resource for glycosyltransferase sequences and annotations |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296393/ https://www.ncbi.nlm.nih.gov/pubmed/32542364 http://dx.doi.org/10.1093/database/baaa047 |
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