Evidence map›Paper›PMID 25153667›Full record

ArticleGenomics, proteomics & bioinformatics2014

FunMod: a Cytoscape plugin for identifying functional modules in undirected protein-protein networks.

Massimo Natale, Alfredo Benso, Stefano Di Carlo, Elisa Ficarra

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
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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.

Massimo NataleDepartment of Control and Computer Engineering, Politecnico di Torino, Torino 10128, Italy. Electronic address: massimo.natale@polito.it.
Alfredo BensoDepartment of Control and Computer Engineering, Politecnico di Torino, Torino 10128, Italy.
Stefano Di CarloDepartment of Control and Computer Engineering, Politecnico di Torino, Torino 10128, Italy.
Elisa FicarraDepartment of Control and Computer Engineering, Politecnico di Torino, Torino 10128, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characterization of the interacting behaviors of complex biological systems is a primary objective in protein-protein network analysis and computational biology. In this paper we present FunMod, an innovative Cytoscape version 2.8 plugin that is able to mine undirected protein-protein networks and to infer sub-networks of interacting proteins intimately correlated with relevant biological pathways. This plugin may enable the discovery of new pathways involved in diseases. In order to describe the role of each protein within the relevant biological pathways, FunMod computes and scores three topological features of the identified sub-networks. By integrating the results from biological pathway clustering and topological network analysis, FunMod proved to be useful for the data interpretation and the generation of new hypotheses in two case studies.

Indexed as

Computational BiologyGene Regulatory NetworksMetabolic Networks and PathwaysModels, BiologicalSoftwareHumansProtein Interaction MappingProteinsProteinsBudd–Chiari syndromeCytoscapeNetwork analysisNetwork modulesPathway analysisSystems biology

Identifiers

PMID25153667
PMCPMC4411368

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.