Evidence map›Paper›PMID 25348397›Full record

ArticleNucleic acids research2015

ComPPI: a cellular compartment-specific database for protein-protein interaction network analysis.

Daniel V Veres, Dávid M Gyurkó, Benedek Thaler, Kristóf Z Szalay, Dávid Fazekas, Tamás Korcsmáros, Peter Csermely

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

86 citing papers in PubMed.

  1. Article
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  5. Interactomics: Dissecting Protein Networks in Living Systems.Advances in experimental medicine and biology · 2026
    Review
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  7. Review
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  12. Article
  13. Putative role of TMEM165 in congenital cardiomyopathies.Frontiers in molecular neuroscience · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

26 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

7 authors.

Daniel V VeresDepartment of Medical Chemistry, Semmelweis University, Budapest, Hungary.ORCID http://orcid.org/0000-0002-2968-0666
Dávid M GyurkóDepartment of Medical Chemistry, Semmelweis University, Budapest, Hungary.ORCID http://orcid.org/0000-0002-2997-9799
Benedek ThalerDepartment of Medical Chemistry, Semmelweis University, Budapest, Hungary Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary.
Kristóf Z SzalayDepartment of Medical Chemistry, Semmelweis University, Budapest, Hungary.ORCID http://orcid.org/0000-0001-7876-3516
Dávid FazekasDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary.
Tamás KorcsmárosDepartment of Genetics, Eötvös Loránd University, Budapest, Hungary TGAC, The Genome Analysis Centre, Norwich, UK Gut Health and Food Safety Programme, Institute of Food Research, Norwich, UK.ORCID http://orcid.org/0000-0003-1717-996X
Peter CsermelyDepartment of Medical Chemistry, Semmelweis University, Budapest, Hungary csermely.peter@med.semmelweis-univ.hu.ORCID http://orcid.org/0000-0001-9234-0659

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Here we present ComPPI, a cellular compartment-specific database of proteins and their interactions enabling an extensive, compartmentalized protein-protein interaction network analysis (URL: http://ComPPI.LinkGroup.hu). ComPPI enables the user to filter biologically unlikely interactions, where the two interacting proteins have no common subcellular localizations and to predict novel properties, such as compartment-specific biological functions. ComPPI is an integrated database covering four species (S. cerevisiae, C. elegans, D. melanogaster and H. sapiens). The compilation of nine protein-protein interaction and eight subcellular localization data sets had four curation steps including a manually built, comprehensive hierarchical structure of >1600 subcellular localizations. ComPPI provides confidence scores for protein subcellular localizations and protein-protein interactions. ComPPI has user-friendly search options for individual proteins giving their subcellular localization, their interactions and the likelihood of their interactions considering the subcellular localization of their interacting partners. Download options of search results, whole-proteomes, organelle-specific interactomes and subcellular localization data are available on its website. Due to its novel features, ComPPI is useful for the analysis of experimental results in biochemistry and molecular biology, as well as for proteome-wide studies in bioinformatics and network science helping cellular biology, medicine and drug design.

Indexed as

Databases, ProteinProtein Interaction MappingAnimalsCell CompartmentationHumansInternetProteinsProteins

Identifiers

PMID25348397
PMCPMC4383876

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.