Evidence map›Paper›PMID 22080466›Full record

ArticleBioinformatics (Oxford, England)2012

Multifunctional proteins revealed by overlapping clustering in protein interaction network.

Emmanuelle Becker, Benoît Robisson, Charles E Chapple, Alain Guénoche, Christine Brun

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

55 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Integrated network pharmacology andFrontiers in molecular biosciences · 2025
    Article
  5. Article
  6. Predictive modeling of moonlighting DNA-binding proteins.NAR genomics and bioinformatics · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Multiple Forms of Multifunctional Proteins in Health and Disease.Frontiers in cell and developmental biology · 2020
    Review
  13. Review
  14. Article
  15. Article
  16. 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

5 authors.

Emmanuelle BeckerINSERM, U928, TAGC, France.
Benoît Robisson
Charles E Chapple
Alain Guénoche
Christine Brun

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationMultifunctional proteins perform several functions. They are expected to interact specifically with distinct sets of partners, simultaneously or not, depending on the function performed. Current graph clustering methods usually allow a protein to belong to only one cluster, therefore impeding a realistic assignment of multifunctional proteins to clusters.

resultsHere, we present Overlapping Cluster Generator (OCG), a novel clustering method which decomposes a network into overlapping clusters and which is, therefore, capable of correct assignment of multifunctional proteins. The principle of OCG is to cover the graph with initial overlapping classes that are iteratively fused into a hierarchy according to an extension of Newman's modularity function. By applying OCG to a human protein-protein interaction network, we show that multifunctional proteins are revealed at the intersection of clusters and demonstrate that the method outperforms other existing methods on simulated graphs and PPI networks. AVAILABILITY: This software can be downloaded from http://tagc.univ-mrs.fr/welcome/spip.php?rubrique197 CONTACT: brun@tagc.univ-mrs.fr SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Protein Interaction MapsSoftwareCluster AnalysisComputational BiologyHumansProteinsProteins

Identifiers

PMID22080466
PMCPMC3244771

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LicenceCC BY-NC
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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.