Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics

International Journal of Molecular Sciences

Zhijue Xu¹  Xiaokun Hong¹  Xia Zou¹  Yan Zhang¹  Xing Li¹ 

[1] Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China;

关键词: glycosylation;    glycoinformatics;    glycan;    glycoprotein;    glycogene;    lectin;   

DOI  :  10.3390/ijms21186727

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown