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  1. Article ; Online: Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics.

    Li, Xing / Xu, Zhijue / Hong, Xiaokun / Zhang, Yan / Zou, Xia

    International journal of molecular sciences

    2020  Volume 21, Issue 18

    Abstract: ... interactions, glycogenes, and the newly developed bioinformatic tools and integrated portal for glycoproteomics ... integrate these data. However, these databases and tools are not well known or widely used by the public ... with the development of glycobiology, glycomics, and glycoproteomics technologies, a large amount of glycoscience data ...

    Abstract 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.
    MeSH term(s) Animals ; Computational Biology/methods ; Databases, Factual ; Glycomics/methods ; Glycoproteins/metabolism ; Glycosylation ; Humans ; Polysaccharides/metabolism ; Proteomics/methods
    Chemical Substances Glycoproteins ; Polysaccharides
    Keywords covid19
    Language English
    Publishing date 2020-09-14
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms21186727
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics

    Xing Li / Zhijue Xu / Xiaokun Hong / Yan Zhang / Xia Zou

    International Journal of Molecular Sciences, Vol 21, Iss 6727, p

    2020  Volume 6727

    Abstract: ... interactions, glycogenes, and the newly developed bioinformatic tools and integrated portal for glycoproteomics ... integrate these data. However, these databases and tools are not well known or widely used by the public ... with the development of glycobiology, glycomics, and glycoproteomics technologies, a large amount of glycoscience data ...

    Abstract 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.
    Keywords glycosylation ; glycoinformatics ; glycan ; glycoprotein ; glycogene ; lectin ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 020
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Databases and Associated Tools for Glycomics and Glycoproteomics.

    Lisacek, Frederique / Mariethoz, Julien / Alocci, Davide / Rudd, Pauline M / Abrahams, Jodie L / Campbell, Matthew P / Packer, Nicolle H / Ståhle, Jonas / Widmalm, Göran / Mullen, Elaine / Adamczyk, Barbara / Rojas-Macias, Miguel A / Jin, Chunsheng / Karlsson, Niclas G

    Methods in molecular biology (Clifton, N.J.)

    2017  Volume 1503, Page(s) 235–264

    Abstract: ... search protocols are also provided using tools associated with experimental databases for converting ... glycobiological research. This chapter presents available databases that are devoted to different aspects ... The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current ...

    Abstract The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current glycobiological research. This chapter presents available databases that are devoted to different aspects of glycobioinformatics. This includes oligosaccharide sequence databases, experimental databases, 3D structure databases (of both glycans and glycorelated proteins) and association of glycans with tissue, disease, and proteins. Specific search protocols are also provided using tools associated with experimental databases for converting primary glycoanalytical data to glycan structural information. In particular, researchers using glycoanalysis methods by U/HPLC (GlycoBase), MS (GlycoWorkbench, UniCarb-DB, GlycoDigest), and NMR (CASPER) will benefit from this chapter. In addition we also include information on how to utilize glycan structural information to query databases that associate glycans with proteins (UniCarbKB) and with interactions with pathogens (SugarBind).
    Language English
    Publishing date 2017
    Publishing country United States
    Document type Journal Article
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-4939-6493-2_18
    Database MEDical Literature Analysis and Retrieval System OnLINE

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