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10.3390/ijms21186727 http://scihub22266oqcxt.onion/10.3390/ijms21186727 32937895!7556027!32937895     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Mol+Sci 2020 ; 21 (18): ä Nephropedia Template TP {{tp|p=32937895|t=2020. Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics |pdf=|usr=}}{{32937895}} gab.com Text Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics JO: Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=32937895 #FOAvip 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. Twit Text FOAVip Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics ????Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=32937895 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32937895 #FOAvip English Wikipedia <ref>{{Cite pmid|32937895}}</ref> Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics #MMPMID32937895 Li X; Xu Z; Hong X; Zhang Y; Zou X Int J Mol Sci 2020[Sep]; 21 (18): ä PMID32937895show ga 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. |Animals[MESH] |Computational Biology/*methods[MESH] |Databases, Factual[MESH] |Glycomics/methods[MESH] |Glycoproteins/metabolism[MESH] |Glycosylation[MESH] |Humans[MESH] |Polysaccharides/metabolism[MESH]Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics(epmc).pdf DeepDyve Pubget Overpricing