Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics.
Xing LiZhijue XuXiaokun HongYan ZhangXia ZouPublished in: International journal of molecular sciences (2020)
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.
Keyphrases
- big data
- artificial intelligence
- induced apoptosis
- electronic health record
- machine learning
- cell surface
- gene expression
- protein protein
- healthcare
- palliative care
- amino acid
- cell cycle arrest
- small molecule
- binding protein
- emergency department
- cell death
- cross sectional
- social media
- signaling pathway
- oxidative stress
- endoplasmic reticulum stress
- deep learning
- pi k akt