Evidence map›Paper›PMID 21466708›Full record

ArticleBMC bioinformatics2011

dbOGAP - an integrated bioinformatics resource for protein O-GlcNAcylation.

Jinlian Wang, Manabu Torii, Hongfang Liu, Gerald W Hart, Zhang-Zhi Hu

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 107 citations in OpenAlex.

  1. Review
  2. O-GlcNAc informatics: advances and trends.Analytical and bioanalytical chemistry · 2025
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Automatization and self-maintenance of the O-GlcNAcome catalog: a smart scientific database.Database : the journal of biological databases and curation · 2021
    Article
  10. Article
  11. Advances and applications in bioinformatics and chemistry : AABC · 2021
    Article
  12. Review
  13. Review
  14. Article
  15. Advancing Solutions to the Carbohydrate Sequencing Challenge.Journal of the American Chemical Society · 2019
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Jinlian WangDepartment of Oncology, Georgetown University Medical Center, NW, Washington, DC 20007, USA.
Manabu Torii
Hongfang Liu
Gerald W Hart
Zhang-Zhi Hu
Georgetown University Medical Center · USGeorgetown University · USJohns Hopkins University · US

Funding

JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI AHIMA, REXFORD S. · 2013 to 2017
$9.7M
Onto-BioThesaurus: ontological representation of gene/protein names for biomedicaR01LM009959 · NLM · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG · 2009 to 2010
$1.2M
NIDDK NIH HHS P30 DK079637NLM NIH HHS 1R01LM009959-01A1NLM NIH HHS R01 LM009959
6 · The paper itself

Abstract

backgroundProtein O-GlcNAcylation (or O-GlcNAc-ylation) is an O-linked glycosylation involving the transfer of β-N-acetylglucosamine to the hydroxyl group of serine or threonine residues of proteins. Growing evidences suggest that protein O-GlcNAcylation is common and is analogous to phosphorylation in modulating broad ranges of biological processes. However, compared to phosphorylation, the amount of protein O-GlcNAcylation data is relatively limited and its annotation in databases is scarce. Furthermore, a bioinformatics resource for O-GlcNAcylation is lacking, and an O-GlcNAcylation site prediction tool is much needed. DESCRIPTION: We developed a database of O-GlcNAcylated proteins and sites, dbOGAP, primarily based on literature published since O-GlcNAcylation was first described in 1984. The database currently contains ~800 proteins with experimental O-GlcNAcylation information, of which ~61% are of humans, and 172 proteins have a total of ~400 O-GlcNAcylation sites identified. The O-GlcNAcylated proteins are primarily nucleocytoplasmic, including membrane- and non-membrane bounded organelle-associated proteins. The known O-GlcNAcylated proteins exert a broad range of functions including transcriptional regulation, macromolecular complex assembly, intracellular transport, translation, and regulation of cell growth or death. The database also contains ~365 potential O-GlcNAcylated proteins inferred from known O-GlcNAcylated orthologs. Additional annotations, including other protein posttranslational modifications, biological pathways and disease information are integrated into the database. We developed an O-GlcNAcylation site prediction system, OGlcNAcScan, based on Support Vector Machine and trained using protein sequences with known O-GlcNAcylation sites from dbOGAP. The site prediction system achieved an area under ROC curve of 74.3% in five-fold cross-validation. The dbOGAP website was developed to allow for performing search and query on O-GlcNAcylated proteins and associated literature, as well as for browsing by gene names, organisms or pathways, and downloading of the database. Also available from the website, the OGlcNAcScan tool presents a list of predicted O-GlcNAcylation sites for given protein sequences.

conclusionsdbOGAP is the first public bioinformatics resource to allow systematic access to the O-GlcNAcylated proteins, and related functional information and bibliography, as well as to an O-GlcNAcylation site prediction tool. The resource will facilitate research on O-GlcNAcylation and its proteomic identification.

Indexed as

AcetylglucosamineComputational BiologyGlycosylationHumansPhosphorylationProtein Processing, Post-TranslationalProteinsProteomicsAcetylglucosamineProteins

Identifiers

PMID21466708
PMCPMC3083348
OpenAlexW2100683979

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.