Evidence map›Paper›PMID 26306092›Full record

ArticleJournal of applied crystallography2015

Irene Farabella, Daven Vasishtan, Agnel Praveen Joseph, Arun Prasad Pandurangan, Harpal Sahota, Maya Topf

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Slice'N'Dice: maximizing the value of predicted models for structural biologists.Acta crystallographica. Section D, Structural biology · 2025
    Article
  3. AI-based methods for biomolecular structure modeling for Cryo-EM.Current opinion in structural biology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Atomic model validation using the CCP-EM software suite.Acta crystallographica. Section D, Structural biology · 2022
    Article
  17. Article
  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

6 authors.

Irene FarabellaInstitute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck, University of London , Malet street, London WC1E 7HX, UK.
Daven VasishtanOxford Particle Imaging Centre, Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford , Oxford OX3 7BN, UK.
Agnel Praveen JosephScientific Computing Department, Science and Technology Facilities Council, Research Complex at Harwell , Didcot, Oxon OX11 0QX, UK.
Arun Prasad PanduranganInstitute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck, University of London , Malet street, London WC1E 7HX, UK.
Harpal SahotaInstitute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck, University of London , Malet street, London WC1E 7HX, UK.
Maya TopfInstitute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck, University of London , Malet street, London WC1E 7HX, UK.

Funding

Medical Research Council G0600084
6 · The paper itself

Abstract

Three-dimensional electron microscopy is currently one of the most promising techniques used to study macromolecular assemblies. Rigid and flexible fitting of atomic models into density maps is often essential to gain further insights into the assemblies they represent. Currently, tools that facilitate the assessment of fitted atomic models and maps are needed.

Indexed as

macromolecular structuresmodel assessmentthree-dimensional electron microscopy

Identifiers

PMID26306092
PMCPMC4520291

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.