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dc.contributor.authorAbrahams, Jodie L
dc.contributor.authorTaherzadeh, Ghazaleh
dc.contributor.authorJarvas, Gabor
dc.contributor.authorGuttman, Andras
dc.contributor.authorZhou, Yaoqi
dc.contributor.authorCampbell, Matthew P
dc.date.accessioned2020-09-29T03:21:49Z
dc.date.available2020-09-29T03:21:49Z
dc.date.issued2020
dc.identifier.issn0959-440X
dc.identifier.doi10.1016/j.sbi.2019.11.009
dc.identifier.urihttp://hdl.handle.net/10072/398016
dc.description.abstractProtein glycosylation is the most complex and prevalent post-translation modification in terms of the number of proteins modified and the diversity generated. To understand the functional roles of glycoproteins it is important to gain an insight into the repertoire of oligosaccharides present. The comparison and relative quantitation of glycoforms combined with site-specific identification and occupancy are necessary steps in this direction. Computational platforms have continued to mature assisting researchers with the interpretation of such glycomics and glycoproteomics data sets, but frequently support dedicated workflows and users rely on the manual interpretation of data to gain insights into the glycoproteome. The growth of site-specific knowledge has also led to the implementation of machine-learning algorithms to predict glycosylation which is now being integrated into glycoproteomics pipelines. This short review describes commercial and open-access databases and software with an emphasis on those that are actively maintained and designed to support current analytical workflows.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom56
dc.relation.ispartofpageto69
dc.relation.ispartofjournalCurrent Opinion in Structural Biology
dc.relation.ispartofvolume62
dc.subject.fieldofresearchMedicinal and biomolecular chemistry
dc.subject.fieldofresearchBiochemistry and cell biology
dc.subject.fieldofresearchcode3404
dc.subject.fieldofresearchcode3101
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsBiochemistry & Molecular Biology
dc.subject.keywordsCell Biology
dc.subject.keywordsMOBILITY-MASS SPECTROMETRY
dc.titleRecent advances in glycoinformatic platforms for glycomics and glycoproteomics
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationAbrahams, JL; Taherzadeh, G; Jarvas, G; Guttman, A; Zhou, Y; Campbell, MP, Recent advances in glycoinformatic platforms for glycomics and glycoproteomics, Current Opinion in Structural Biology, 2020, 62, pp. 56-69
dcterms.dateAccepted2019-11-15
dc.date.updated2020-09-29T03:19:43Z
gro.hasfulltextNo Full Text
gro.griffith.authorZhou, Yaoqi
gro.griffith.authorCampbell, Matthew
gro.griffith.authorAbrahams, Jodie L.
gro.griffith.authorTaherzadeh, Ghazaleh


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