Evidence map›Paper›PMID 41387443›Full record

ArticleNature communications2025

GlyContact analyzes glycan 3D structures at scale.

Luc Thomès, Roman Joeres, Zeynep Akdeniz, Daniel Bojar

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

4 authors.

Luc ThomèsUniversity Lille, CHU Lille, ULR 7364 - RADEME - Maladies RAres du DÉveloppement embryonnaire et du Métabolisme, Lille, France.ORCID http://orcid.org/0009-0003-2628-7900
Roman JoeresDepartment of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0009-0000-2952-9395
Zeynep AkdenizDepartment of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Daniel BojarDepartment of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden. daniel.bojar@gu.se.ORCID http://orcid.org/0000-0002-3008-7851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycans are branched, structurally diverse, and highly flexible biomolecules. These characteristics make glycoanalytics and structural characterization challenging, resulting in often unclear structure-to-function relationships. GlycoShape, currently the largest open-access database of glycan 3D structures from molecular dynamics (MD) simulations, provides an opportunity to fill this information gap. Here, we present GlyContact, an open-source Python package designed and developed to retrieve, process, and analyze glycan 3D structures, from MD, NMR, or X-ray crystallography. We demonstrate that GlyContact can (i) unveil the impact of sequence context on glycan motif structure, (ii) yield a predictive understanding of motif flexibility and surface accessibility on lectin-glycan binding, which improved lectin-binding prediction by ~ 7%, and (iii) accurately predict torsion angle distribution between disaccharides using von Mises graph neural networks. We envision that GlyContact will allow researchers to explore glycan structures within their 3D space, obtaining insights into their biological functions. GlyContact is available open-access at https://github.com/lthomes/glycontact .

Indexed as

PolysaccharidesSoftwareCarbohydrate ConformationCrystallography, X-RayLectinsMolecular Dynamics SimulationLectinsPolysaccharides

Identifiers

PMID41387443
PMCPMC12706034

What OpenQuestion holds

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LicenceCC BY
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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.