Evidence map›Paper›PMID 24396273›Full record

ArticleCurrent genomics2013

Computational Prediction of Protein-Protein Interaction Networks: Algo-rithms and Resources.

Javad Zahiri, Joseph Hannon Bozorgmehr, Ali Masoudi-Nejad

Open access · bronzeAbstract read
In one paragraph

Article in Current genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

35 citing papers in PubMed, 141 citations in OpenAlex.

  1. Review
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  8. Functional Annotation of Hypothetical Proteins From theBioinformatics and biology insights · 2022
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  11. Review
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  13. Article
  14. Posttranslational modifications in proteins: resources, tools and prediction methods.Database : the journal of biological databases and curation · 2021
    Article
  15. Databases for Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  16. Article
  17. Chemometric Models of Differential Amino Acids at the NaMolecules (Basel, Switzerland) · 2020
    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

3 authors at 1 institution in 1 country.

Javad ZahiriLaboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Iran.
Joseph Hannon BozorgmehrLaboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Iran.
Ali Masoudi-NejadLaboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Iran.
University of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein interactions play an important role in the discovery of protein functions and pathways in biological processes. This is especially true in case of the diseases caused by the loss of specific protein-protein interactions in the organism. The accuracy of experimental results in finding protein-protein interactions, however, is rather dubious and high throughput experimental results have shown both high false positive beside false negative information for protein interaction. Computational methods have attracted tremendous attention among biologists because of the ability to predict protein-protein interactions and validate the obtained experimental results. In this study, we have reviewed several computational methods for protein-protein interaction prediction as well as describing major databases, which store both predicted and detected protein-protein interactions, and the tools used for analyzing protein interaction networks and improving protein-protein interaction reliability.

Indexed as

Computational prediction methodGold standard dataset selection.Interaction databaseMachine learningNetworks analyzing toolsProtein interaction networksProtein-protein interaction

Identifiers

PMID24396273
PMCPMC3861891
OpenAlexW2287383879

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.