Evidence map›Paper›PMID 28177313›Full record

ArticleActa crystallographica. Section D, Structural biology2017

Strategies for carbohydrate model building, refinement and validation.

Jon Agirre

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Avoiding pitfalls when modelling ligands in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2026
    Article
  3. Article
  4. Article
  5. Post-translational modifications in the Protein Data Bank.Acta crystallographica. Section D, Structural biology · 2024
    Review
  6. Online carbohydrate 3D structure validation with the Privateer web app.Acta crystallographica. Section F, Structural biology communications · 2024
    Article
  7. Monitoring carbohydrate 3D structure quality with theBeilstein journal of organic chemistry · 2024
    Article
  8. Article
  9. Analysis and validation of overall N-glycan conformation in Privateer.Acta crystallographica. Section D, Structural biology · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Updated restraint dictionaries for carbohydrates in the pyranose form.Acta crystallographica. Section D, Structural biology · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Carbohydrate-Protein Interactions: Advances and Challenges.Communications in information and systems · 2021
    Article
  18. Review
  19. Three-Dimensional Structures of Carbohydrates and Where to Find Them.International journal of molecular sciences · 2020
    Review
  20. A VScience advances · 2020
    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

1 author.

Jon AgirreYork Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 5DD, England.

Funding

Biotechnology and Biological Sciences Research Council BB/K008153/1
6 · The paper itself

Abstract

Sugars are the most stereochemically intricate family of biomolecules and present substantial challenges to anyone trying to understand their nomenclature, reactions or branched structures. Current crystallographic programs provide an abstraction layer allowing inexpert structural biologists to build complete protein or nucleic acid model components automatically either from scratch or with little manual intervention. This is, however, still not generally true for sugars. The need for carbohydrate-specific building and validation tools has been highlighted a number of times in the past, concomitantly with the introduction of a new generation of experimental methods that have been ramping up the production of protein-sugar complexes and glycoproteins for the past decade. While some incipient advances have been made to address these demands, correctly modelling and refining carbohydrates remains a challenge. This article will address many of the typical difficulties that a structural biologist may face when dealing with carbohydrates, with an emphasis on problem solving in the resolution range where X-ray crystallography and cryo-electron microscopy are expected to overlap in the next decade.

Indexed as

Carbohydrate ConformationCarbohydratesCrystallographyGlycoproteinsGlycosylationModels, MolecularSoftwareCarbohydratesGlycoproteinscarbohydratesconformationglycosylationrestraintsvalidation

Identifiers

PMID28177313
PMCPMC5297920

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.