Evidence map›Paper›PMID 24185702›Full record

ArticleNucleic acids research2014

FunCoup 3.0: database of genome-wide functional coupling networks.

Thomas Schmitt, Christoph Ogris, Erik L L Sonnhammer

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 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Trial
  2. RAGE Inhibitors for Targeted Therapy of Cancer: A Comprehensive Review.International journal of molecular sciences · 2022
    Review
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5 more citing papers are in PubMed but not listed here.

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.

Thomas SchmittStockholm Bioinformatics Centre, Science for Life Laboratory, Box 1031, Solna SE-17121, Sweden, Department of Biochemistry and Biophysics, Stockholm University and Swedish eScience Research Center.
Christoph Ogris
Erik L L Sonnhammer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present an update of the FunCoup database (http://FunCoup.sbc.su.se) of functional couplings, or functional associations, between genes and gene products. Identifying these functional couplings is an important step in the understanding of higher level mechanisms performed by complex cellular processes. FunCoup distinguishes between four classes of couplings: participation in the same signaling cascade, participation in the same metabolic process, co-membership in a protein complex and physical interaction. For each of these four classes, several types of experimental and statistical evidence are combined by Bayesian integration to predict genome-wide functional coupling networks. The FunCoup framework has been completely re-implemented to allow for more frequent future updates. It contains many improvements, such as a regularization procedure to automatically downweight redundant evidences and a novel method to incorporate phylogenetic profile similarity. Several datasets have been updated and new data have been added in FunCoup 3.0. Furthermore, we have developed a new Web site, which provides powerful tools to explore the predicted networks and to retrieve detailed information about the data underlying each prediction.

Indexed as

Databases, GeneticGene Regulatory NetworksGenomeProtein Interaction MappingAnimalsBayes TheoremHumansInternetMetabolic Networks and PathwaysMiceMultiprotein ComplexesPhylogenyRatsSignal TransductionTranscription FactorsMultiprotein ComplexesTranscription Factors

Identifiers

PMID24185702
PMCPMC3965084

What OpenQuestion holds

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LicenceCC BY-NC
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.