Evidence map›Paper›PMID 26516188›Full record

ArticleNucleic acids research2016

Integrated interactions database: tissue-specific view of the human and model organism interactomes.

Max Kotlyar, Chiara Pastrello, Nicholas Sheahan, Igor Jurisica

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing 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

111 citing papers in PubMed.

  1. Trial
  2. Article
  3. Interactomics: Dissecting Protein Networks in Living Systems.Advances in experimental medicine and biology · 2026
    Review
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51 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

4 authors.

Max KotlyarPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada.
Chiara PastrelloPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada.
Nicholas SheahanSchool of Computing, Queen's University, Kingston, ON, K7L 2N8, Canada.
Igor JurisicaPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, M5G 1L7, Canada Departments of Medical Biophysics and Computer Science, University of Toronto, Toronto, ON, M5S 1A4, Canada juris@ai.utoronto.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IID (Integrated Interactions Database) is the first database providing tissue-specific protein-protein interactions (PPIs) for model organisms and human. IID covers six species (S. cerevisiae (yeast), C. elegans (worm), D. melonogaster (fly), R. norvegicus (rat), M. musculus (mouse) and H. sapiens (human)) and up to 30 tissues per species. Users query IID by providing a set of proteins or PPIs from any of these organisms, and specifying species and tissues where IID should search for interactions. If query proteins are not from the selected species, IID enables searches across species and tissues automatically by using their orthologs; for example, retrieving interactions in a given tissue, conserved in human and mouse. Interaction data in IID comprises three types of PPI networks: experimentally detected PPIs from major databases, orthologous PPIs and high-confidence computationally predicted PPIs. Interactions are assigned to tissues where their proteins pairs or encoding genes are expressed. IID is a major replacement of the I2D interaction database, with larger PPI networks (a total of 1,566,043 PPIs among 68,831 proteins), tissue annotations for interactions, and new query, analysis and data visualization capabilities. IID is available at http://ophid.utoronto.ca/iid.

Indexed as

Databases, ProteinProtein Interaction MappingAnimalsGene ExpressionHumansMiceOrgan SpecificityProteinsRatsTissue DistributionProteins

Identifiers

PMID26516188
PMCPMC4702811

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.