GTDB: an integrated resource for glycosyltransferase sequences and annotations
2020-06-16
发表期刊DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (IF:3.4[JCR-2023],4.2[5-Year])
ISSN1758-0463
发表状态已发表
DOI10.1093/database/baaa047
摘要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.
收录类别SCI ; SCIE
语种英语
资助项目National Key Research and Development Program of China[2018YFA0900704][2017YFC1201200] ; International Partnership Program of Chinese Academy of Sciences[153D31KYSB20170121] ; Key Research Program of the Chinese Academy of Sciences[KFZD-SW-219-5] ; Zhangjiang special project of national innovation demonstration zone[ZJ2018-ZD-013] ; National Natural Science Foundation of China[31871281] ; Science and Technology Service Network Initiative of Chinese Academy of Sciences[Y919C11011]
WOS研究方向Mathematical & Computational Biology
WOS类目Mathematical & Computational Biology
WOS记录号WOS:000545999100001
出版者OXFORD UNIV PRESS
WOS关键词DATABASE ; IDENTIFICATION ; BIOSYNTHESIS
原始文献类型Article
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/122442
专题生命科学与技术学院_博士生
通讯作者Zhang, Guoqing
作者单位
1.Chinese Acad Sci, Univ Chinese Acad Sci, CAS MPG Partner Inst Computat Biol,Natl Genom Dat, Shanghai Inst Nutr & Hlth,Biomed Big Data Ctr,Key, 320 Yueyang Rd, Shanghai 200031, Peoples R China
2.Hubei Univ Educ, Coll Comp, 129 Second Gaoxin Rd, Wuhan 430205, Peoples R China
3.ShanghaiTech Univ, Sch Life Sci & Technol, 393 Middle Huaxia Rd, Shanghai 201210, Peoples R China
4.Chinese Acad Sci, Inst Plant Physiol & Ecol, CAS Ctr Excellence Mol Plant Sci, CAS Key Lab Synthet Biol, 300 Fenglin Rd, Shanghai 200032, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Chenfen,Xu, Qingwei,He, Sheng,et al. GTDB: an integrated resource for glycosyltransferase sequences and annotations[J]. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION,2020.
APA Zhou, Chenfen.,Xu, Qingwei.,He, Sheng.,Ye, Wei.,Cao, Ruifang.,...&Zhang, Guoqing.(2020).GTDB: an integrated resource for glycosyltransferase sequences and annotations.DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION.
MLA Zhou, Chenfen,et al."GTDB: an integrated resource for glycosyltransferase sequences and annotations".DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (2020).
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