Evidence map›Paper›PMID 24271397›Full record

ArticleNucleic acids research2014

KBDOCK 2013: a spatial classification of 3D protein domain family interactions.

Anisah W Ghoorah, Marie-Dominique Devignes, Malika Smaïl-Tabbone, David W Ritchie

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 3D-PP: A Tool for Discovering Conserved Three-Dimensional Protein Patterns.International journal of molecular sciences · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. 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

4 authors.

Anisah W GhoorahUniversité de Lorraine, LORIA, Campus Scientifique, BP 239, 54506 Villers-lès-Nancy, France, CNRS, LORIA, Campus Scientifique, BP 239, 54506 Villers-lès-Nancy, France and INRIA Nancy Grand Est, LORIA, Campus Scientifique, BP 239, 54506 Villers-lès-Nancy, France.
Marie-Dominique Devignes
Malika Smaïl-Tabbone
David W Ritchie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparing, classifying and modelling protein structural interactions can enrich our understanding of many biomolecular processes. This contribution describes Kbdock (http://kbdock.loria.fr/), a database system that combines the Pfam domain classification with coordinate data from the PDB to analyse and model 3D domain-domain interactions (DDIs). Kbdock can be queried using Pfam domain identifiers, protein sequences or 3D protein structures. For a given query domain or pair of domains, Kbdock retrieves and displays a non-redundant list of homologous DDIs or domain-peptide interactions in a common coordinate frame. Kbdock may also be used to search for and visualize interactions involving different, but structurally similar, Pfam families. Thus, structural DDI templates may be proposed even when there is little or no sequence similarity to the query domains.

Indexed as

Databases, ProteinProtein Interaction Domains and MotifsBinding SitesInternetModels, MolecularMolecular Docking SimulationProtein Interaction MappingProtein Interaction MapsProteinsSequence AlignmentSequence Analysis, ProteinProteins

Identifiers

PMID24271397
PMCPMC3964971

What OpenQuestion holds

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LicenceCC BY-NC
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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.