Evidence map›Paper›PMID 31841142›Full record

ArticleBioinformatics (Oxford, England)2020

GlyMDB: Glycan Microarray Database and analysis toolset.

Yiwei Cao, Sang-Jun Park, Akul Y Mehta, Richard D Cummings, Wonpil Im

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Three-Dimensional Structures of Carbohydrates and Where to Find Them.International journal of molecular sciences · 2020
    Review
  11. Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics.International journal of molecular sciences · 2020
    Review
  12. Review
  13. Tools for generating and analyzing glycan microarray data.Beilstein journal of organic chemistry · 2020
    Review
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 2 countries.

Yiwei CaoDepartments of Biological Sciences and Bioengineering, Lehigh University, Bethlehem, PA 18015, USA.
Sang-Jun ParkDepartments of Biological Sciences and Bioengineering, Lehigh University, Bethlehem, PA 18015, USA.
Akul Y MehtaDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA.
Richard D CummingsDepartment of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA.
Wonpil ImDepartments of Biological Sciences and Bioengineering, Lehigh University, Bethlehem, PA 18015, USA.
Beth Israel Deaconess Medical Center · USLehigh University · USKorea Institute for Advanced Study · KR

Funding

GlyGen Supplement: Develop automatic literature mining tool for extracting context specific glycan-protein data that will enhance the extent and quality of data in GlyGenU01GM125267 · NIGMS · UNIVERSITY OF GEORGIA · PI MAZUMDER, RAJA, TIEMEYER, MICHAEL · 2017 to 2021
$10.2M
Overall Priority Score P41GM103694 · NIGMS · EMORY UNIVERSITY · PI CUMMINGS, RICHARD D · 2013 to 2018
$6.9M
NIGMS NIH HHS P41 GM103694NIGMS NIH HHS U01 GM125267
6 · The paper itself

Abstract

motivationGlycan microarrays are capable of illuminating the interactions of glycan-binding proteins (GBPs) against hundreds of defined glycan structures, and have revolutionized the investigations of protein-carbohydrate interactions underlying numerous critical biological activities. However, it is difficult to interpret microarray data and identify structural determinants promoting glycan binding to glycan-binding proteins due to the ambiguity in microarray fluorescence intensity and complexity in branched glycan structures. To facilitate analysis of glycan microarray data alongside protein structure, we have built the Glycan Microarray Database (GlyMDB), a web-based resource including a searchable database of glycan microarray samples and a toolset for data/structure analysis.

resultsThe current GlyMDB provides data visualization and glycan-binding motif discovery for 5203 glycan microarray samples collected from the Consortium for Functional Glycomics. The unique feature of GlyMDB is to link microarray data to PDB structures. The GlyMDB provides different options for database query, and allows users to upload their microarray data for analysis. After search or upload is complete, users can choose the criterion for binder versus non-binder classification. They can view the signal intensity graph including the binder/non-binder threshold followed by a list of glycan-binding motifs. One can also compare the fluorescence intensity data from two different microarray samples. A protein sequence-based search is performed using BLAST to match microarray data with all available PDB structures containing glycans. The glycan ligand information is displayed, and links are provided for structural visualization and redirection to other modules in GlycanStructure.ORG for further investigation of glycan-binding sites and glycan structures. AVAILABILITY AND IMPLEMENTATION: http://www.glycanstructure.org/glymdb. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GlycomicsPolysaccharidesBinding SitesDatabases, FactualMicroarray AnalysisProteinsPolysaccharidesProteins

Identifiers

PMID31841142
PMCPMC7178435
OpenAlexW2994710758

What OpenQuestion holds

Textmetadata
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.