Evidence map›Paper›PMID 37097895›Full record

ArticleBioinformatics (Oxford, England)2023

Fixing molecular complexes in BioPAX standards to enrich interactions and detect redundancies using semantic web technologies.

Camille Juigné, Olivier Dameron, François Moreews, Florence Gondret, Emmanuelle Becker

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. BioPAX in 2024: Where we are and where we are heading.Computational and structural biotechnology journal · 2024
    Review
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

5 authors.

Camille JuignéUniv Rennes, Inria, CNRS, IRISA-UMR 6074, F-35000 Rennes, France.ORCID 0000-0003-1157-9030
Olivier DameronUniv Rennes, Inria, CNRS, IRISA-UMR 6074, F-35000 Rennes, France.ORCID 0000-0001-8959-7189
François MoreewsUniv Rennes, Inria, CNRS, IRISA-UMR 6074, F-35000 Rennes, France.
Florence GondretPEGASE, INRAE, Institut Agro, F-35590 Saint Gilles, France.
Emmanuelle BeckerUniv Rennes, Inria, CNRS, IRISA-UMR 6074, F-35000 Rennes, France.ORCID 0000-0002-7673-0582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationMolecular complexes play a major role in the regulation of biological pathways. The Biological Pathway Exchange format (BioPAX) facilitates the integration of data sources describing interactions some of which involving complexes. The BioPAX specification explicitly prevents complexes to have any component that is another complex (unless this component is a black-box complex whose composition is unknown). However, we observed that the well-curated Reactome pathway database contains such recursive complexes of complexes. We propose reproductible and semantically rich SPARQL queries for identifying and fixing invalid complexes in BioPAX databases, and evaluate the consequences of fixing these nonconformities in the Reactome database.

resultsFor the Homo sapiens version of Reactome, we identify 5833 recursively defined complexes out of the 14 987 complexes (39%). This situation is not specific to the Human dataset, as all tested species of Reactome exhibit between 30% (Plasmodium falciparum) and 40% (Sus scrofa, Bos taurus, Canis familiaris, and Gallus gallus) of recursive complexes. As an additional consequence, the procedure also allows the detection of complex redundancies. Overall, this method improves the conformity and the automated analysis of the graph by repairing the topology of the complexes in the graph. This will allow to apply further reasoning methods on better consistent data. AVAILABILITY AND IMPLEMENTATION: We provide a Jupyter notebook detailing the analysis https://github.com/cjuigne/non_conformities_detection_biopax.

Indexed as

ChickensSemantic WebAnimalsCattleDatabases, FactualDogsHumansPlasmodium falciparum

Identifiers

PMID37097895
PMCPMC10168583

What OpenQuestion holds

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LicenceCC BY
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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.