Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics.
Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics.
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糖生物学和糖蛋白质组学的数据库和生物信息学工具
DOI：
10.3390/ijms21186727
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发表时间：
2020-09-14
影响因子：
5.6
通讯作者：
Zou X
中科院分区：
文献类型：
--
作者：
Li X;Xu Z;Hong X;Zhang Y;Zou X
糖基化在各种生物学过程中起着重要作用，与疾病密切相关。破译不同细胞和组织中的糖密码为开发新的疾病生物标志物和更有效的重组疗法提供了机会。在过去的几十年中，随着糖生物学、糖组学和糖蛋白质组学技术的发展，产生了大量的糖科学数据。随后，已经开发了许多涵盖聚糖结构、糖基化位点、蛋白质支架和相关糖基因的糖生物学数据库来存储、分析和整合这些数据。然而，这些数据库和工具并不为公众所熟知或广泛使用，包括临床医生和其他不在糖生物学领域但对糖蛋白感兴趣的研究人员。本文综述了糖结构、糖蛋白、糖蛋白-蛋白相互作用、糖基因等具有代表性的数据库，以及新近开发的糖蛋白质组学的生物信息学工具和集成门户。我们希望这篇综述能够帮助读者寻找感兴趣的糖蛋白信息，并促进糖生物学的进一步临床应用。
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.
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影响因子：
2.9
作者：
Cao L;Tolić N;Qu Y;Meng D;Zhao R;Zhang Q;Moore RJ;Zink EM;Lipton MS;Paša-Tolić L;Wu S
通讯作者：
Wu S
影响因子：
3.1
作者：
Akune, Yukie;Lin, Chi-Hung;Campbell, Matthew P.
通讯作者：
Campbell, Matthew P.
影响因子：
14.9
作者：
Campbell MP;Peterson R;Mariethoz J;Gasteiger E;Akune Y;Aoki-Kinoshita KF;Lisacek F;Packer NH
通讯作者：
Packer NH
影响因子：
14.9
作者：
Clerc O;Deniaud M;Vallet SD;Naba A;Rivet A;Perez S;Thierry-Mieg N;Ricard-Blum S
通讯作者：
Ricard-Blum S
DOI：
10.1016/j.bbapap.2013.04.018
发表时间：
2014-01-01
影响因子：
3.2
作者：
Campbell, Matthew P.;Nguyen-Khuong, Terry;Karlsson, Niclas G.
通讯作者：
Karlsson, Niclas G.