Evidence map›Paper›PMID 28786094›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

GlycoDeNovo - an Efficient Algorithm for Accurate de novo Glycan Topology Reconstruction from Tandem Mass Spectra.

Pengyu Hong, Hui Sun, Long Sha, Yi Pu, Kshitij Khatri, Xiang Yu, Yang Tang, Cheng Lin

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Glycan Sequencing, A Brief Primer.Glycoscience & therapy · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Chemical science · 2023
    Article
  8. Article
  9. GlycoDeNovo2: An Improved MS/MS-BasedJournal of the American Society for Mass Spectrometry · 2022
    Article
  10. Review
  11. Review
  12. Functions of Glycosylation and Related Web Resources for Its Prediction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  13. Review
  14. Analysis of the Glycosaminoglycan Chains of Proteoglycans.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. Advancing Solutions to the Carbohydrate Sequencing Challenge.Journal of the American Chemical Society · 2019
    Review
  19. Alphabet Projection of Spectra.Journal of proteome research · 2019
    Article
  20. 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

8 authors.

Pengyu HongDepartment of Computer Science, Brandeis University, Waltham, MA, 02453, USA. hongpeng@brandeis.edu.
Hui SunDepartment of Computer Science, Brandeis University, Waltham, MA, 02453, USA.
Long ShaDepartment of Computer Science, Brandeis University, Waltham, MA, 02453, USA.
Yi PuDepartment of Chemistry, Boston University, Boston, MA, 02215, USA.
Kshitij KhatriDepartment of Biochemistry, Boston University School of Medicine, Boston, MA, 02118, USA.
Xiang YuDepartment of Biochemistry, Boston University School of Medicine, Boston, MA, 02118, USA.
Yang TangDepartment of Chemistry, Boston University, Boston, MA, 02215, USA.
Cheng LinDepartment of Biochemistry, Boston University School of Medicine, Boston, MA, 02118, USA. chenglin@bu.edu.ORCID 0000-0003-3653-9633

Funding

Mass Spectrometry Resource for Biology and MedicineP41GM104603 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2012 to 2017
$10.4M
LTQ-FT MS System for On-line Protein and Glycan AnalysisS10RR025082 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI COSTELLO, CATHERINE E. · 2009 to 2009
$1.3M
Characterization of glycan isomers by trapped ion mobility spectrometry-electron activated dissociation tandem mass spectrometryR21GM122635 · NIGMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIN, CHENG · 2016 to 2017
$629k
NCRR NIH HHS S10 RR025082NIGMS NIH HHS P41 GM104603NIGMS NIH HHS R21 GM122635
6 · The paper itself

Abstract

A major challenge in glycomics is the characterization of complex glycan structures that are essential for understanding their diverse roles in many biological processes. We present a novel efficient computational approach, named GlycoDeNovo, for accurate elucidation of the glycan topologies from their tandem mass spectra. Given a spectrum, GlycoDeNovo first builds an interpretation-graph specifying how to interpret each peak using preceding interpreted peaks. It then reconstructs the topologies of peaks that contribute to interpreting the precursor ion. We theoretically prove that GlycoDeNovo is highly efficient. A major innovative feature added to GlycoDeNovo is a data-driven IonClassifier which can be used to effectively rank candidate topologies. IonClassifier is automatically learned from experimental spectra of known glycans to distinguish B- and C-type ions from all other ion types. Our results showed that GlycoDeNovo is robust and accurate for topology reconstruction of glycans from their tandem mass spectra. Graphical Abstract ᅟ.

Indexed as

De novo glycan sequencingElectronic excitation dissociationFourier-transform ion cyclotron resonance mass spectrometryMachine learning

Identifiers

PMID28786094
PMCPMC5647224

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Registered trials

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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.