Evidence map›Paper›PMID 21459847›Full record

ArticleNucleic acids research2011

The IntFOLD server: an integrated web resource for protein fold recognition, 3D model quality assessment, intrinsic disorder prediction, domain prediction and ligand binding site prediction.

Daniel B Roche, Maria T Buenavista, Stuart J Tetchner, Liam J McGuffin

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Article
  3. A Model of the Full-Length Cytokinin Receptor: New Insights and Prospects.International journal of molecular sciences · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. Quality Estimates for 3D Protein Models.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Methods for the Refinement of Protein Structure 3D Models.International journal of molecular sciences · 2019
    Review
  14. Hepatitis E Virus Cysteine Protease Has Papain Like Properties Validated byFrontiers in cellular and infection microbiology · 2019
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  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

4 authors.

Daniel B RocheSchool of Biological Sciences, University of Reading, Whiteknights, Reading RG6 6AS, UK.
Maria T Buenavista
Stuart J Tetchner
Liam J McGuffin

Funding

Medical Research Council MC_U142684171
6 · The paper itself

Abstract

The IntFOLD server is a novel independent server that integrates several cutting edge methods for the prediction of structure and function from sequence. Our guiding principles behind the server development were as follows: (i) to provide a simple unified resource that makes our prediction software accessible to all and (ii) to produce integrated output for predictions that can be easily interpreted. The output for predictions is presented as a simple table that summarizes all results graphically via plots and annotated 3D models. The raw machine readable data files for each set of predictions are also provided for developers, which comply with the Critical Assessment of Methods for Protein Structure Prediction (CASP) data standards. The server comprises an integrated suite of five novel methods: nFOLD4, for tertiary structure prediction; ModFOLD 3.0, for model quality assessment; DISOclust 2.0, for disorder prediction; DomFOLD 2.0 for domain prediction; and FunFOLD 1.0, for ligand binding site prediction. Predictions from the IntFOLD server were found to be competitive in several categories in the recent CASP9 experiment. The IntFOLD server is available at the following web site: http://www.reading.ac.uk/bioinf/IntFOLD/.

Indexed as

Models, MolecularProtein ConformationSoftwareBinding SitesInternetLigandsProtein FoldingProtein Structure, TertiarySequence Analysis, ProteinLigands

Identifiers

PMID21459847
PMCPMC3125722

What OpenQuestion holds

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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.