Evidence map›Paper›PMID 19171971›Full record

ArticleActa crystallographica. Section D, Biological crystallography2009

Analysis and validation of carbohydrate three-dimensional structures.

Thomas Lütteke

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Biological crystallography, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. An Interactive View of Glycosylation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Three-Dimensional Structures of Carbohydrates and Where to Find Them.International journal of molecular sciences · 2020
    Review
  6. Article
  7. Glycosaminoglycanomics: where we are.Glycoconjugate journal · 2017
    Review
  8. Article
  9. Strategies for carbohydrate model building, refinement and validation.Acta crystallographica. Section D, Structural biology · 2017
    Article
  10. Article
  11. Article
  12. Molecular dynamics simulations of glycoproteins using CHARMM.Methods in molecular biology (Clifton, N.J.) · 2015
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Crystallographic model validation: from diagnosis to healing.Current opinion in structural biology · 2013
    Review
  18. Article
  19. Article
  20. 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.

Thomas LüttekeBijvoet Centre for Biomolecular Research, BOC2, Utrecht University, Utrecht, The Netherlands. thomas.luetteke@vetmed.uni-giessen.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of the three-dimensional structures of the carbohydrate molecules is indispensable for a full understanding of the molecular processes in which carbohydrates are involved, such as protein glycosylation or protein-carbohydrate interactions. The Protein Data Bank (PDB) is a valuable resource for three-dimensional structural information on glycoproteins and protein-carbohydrate complexes. Unfortunately, many carbohydrate moieties in the PDB contain inconsistencies or errors. This article gives an overview of the information that can be obtained from individual PDB entries and from statistical analyses of sets of three-dimensional structures, of typical problems that arise during the analysis of carbohydrate three-dimensional structures and of the validation tools that are currently available to scientists to evaluate the quality of these structures.

Indexed as

Carbohydrate ConformationCarbohydratesComputer SimulationCrystallography, X-RayDatabases, ProteinGlycoproteinsGlycosylationModels, MolecularProtein ConformationProtein FoldingCarbohydratesGlycoproteins

Identifiers

PMID19171971
PMCPMC2631634

What OpenQuestion holds

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LicenceCC BY
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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.