Evidence map›Paper›PMID 33963857›Full record

ArticleNucleic acids research2021

Proteo3Dnet: a web server for the integration of structural information with interactomics data.

Guillaume Postic, Jessica Andreani, Julien Marcoux, Victor Reys, Raphaël Guerois, Julien Rey, Emmanuelle Mouton-Barbosa, Yves Vandenbrouck, Sarah Cianferani, Odile Burlet-Schiltz and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Guillaume PosticUniversité de Paris, CNRS UMR 8251, INSERM U1133, RPBS, Paris 75205, France.
Jessica AndreaniUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France.ORCID 0000-0003-4435-9093
Julien MarcouxInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Victor ReysCentre de Biochimie Structurale (CBS), CNRS, INSERM, Univ Montpellier, Montpellier, France.
Raphaël GueroisUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France.ORCID 0000-0001-5294-2858
Julien ReyUniversité de Paris, CNRS UMR 8251, INSERM U1133, RPBS, Paris 75205, France.
Emmanuelle Mouton-BarbosaInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Yves VandenbrouckUniv. Grenoble Alpes, INSERM, CEA, UMR BioSanté U1292, CNRS, CEA, FR2048, 38000 Grenoble, France.
Sarah CianferaniLaboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France.
Odile Burlet-SchiltzInstitut de Pharmacologie et de Biologie Structurale (IPBS), Université de Toulouse, CNRS, UPS, Toulouse, France.
Gilles LabesseCentre de Biochimie Structurale (CBS), CNRS, INSERM, Univ Montpellier, Montpellier, France.
Pierre TufféryUniversité de Paris, CNRS UMR 8251, INSERM U1133, RPBS, Paris 75205, France.ORCID 0000-0003-1033-9895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteo3Dnet is a web server dedicated to the analysis of mass spectrometry interactomics experiments. Given a flat list of proteins, its aim is to organize it in terms of structural interactions to provide a clearer overview of the data. This is achieved using three means: (i) the search for interologs with resolved structure available in the protein data bank, including cross-species remote homology search, (ii) the search for possibly weaker interactions mediated through Short Linear Motifs as predicted by ELM-a unique feature of Proteo3Dnet, (iii) the search for protein-protein interactions physically validated in the BioGRID database. The server then compiles this information and returns a graph of the identified interactions and details about the different searches. The graph can be interactively explored to understand the way the core complexes identified could interact. It can also suggest undetected partners to the experimentalists, or specific cases of conditionally exclusive binding. The interest of Proteo3Dnet, previously demonstrated for the difficult cases of the proteasome and pragmin complexes data is, here, illustrated in the context of yeast precursors to the small ribosomal subunits and the smaller interactome of 14-3-3zeta frequent interactors. The Proteo3Dnet web server is accessible at http://bioserv.rpbs.univ-paris-diderot.fr/services/Proteo3Dnet/.

Indexed as

Protein ConformationSoftware14-3-3 ProteinsInternetMass SpectrometryProtein Interaction Domains and MotifsProtein Interaction MappingProtein Interaction MapsProteomicsRibosome Subunits, Small, Eukaryotic14-3-3 Proteins

Identifiers

PMID33963857
PMCPMC8262742

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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.