Evidence map›Paper›PMID 29642841›Full record

ArticleBMC bioinformatics2018

Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions.

M Sivade Dumousseau, D Alonso-López, M Ammari, G Bradley, N H Campbell, A Ceol, G Cesareni, C Combe, J De Las Rivas, N Del-Toro and 20 more

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. What Have Data Standards Ever Done for Us?Molecular & cellular proteomics : MCP · 2025
    Review
  2. Best practices for the manual curation of intrinsically disordered proteins in DisProt.Database : the journal of biological databases and curation · 2024
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  5. Article
  6. Review
  7. Article
  8. HumanMine: advanced data searching, analysis and cross-species comparison.Database : the journal of biological databases and curation · 2022
    Article
  9. Article
  10. Complex Portal 2022: new curation frontiers.Nucleic acids research · 2022
    Article
  11. Using FlyBase: A Database of Drosophila Genes and Genetics.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article
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

30 authors.

M Sivade DumousseauEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
D Alonso-LópezCancer Research Center (CiC-IBMCC, CSIC/USAL/IBSAL), Consejo Superior de Investigaciones Científicas (CSIC) and Universidad de Salamanca (USAL), 37007, Salamanca, Spain.
M AmmariSchool of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, USA.
G BradleyTarget Sciences, GSK, Stevenage, UK.
N H CampbellInstitute of Cardiovascular Science, University College London, Rayne Building, 5 University Street, London, WC1E 6JF, UK.
A CeolCenter for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), Via Adamello 16, I-20139, Milan, Italy.
G CesareniDepartment of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy.
C CombeWellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3BF, UK.
J De Las RivasCancer Research Center (CiC-IBMCC, CSIC/USAL/IBSAL), Consejo Superior de Investigaciones Científicas (CSIC) and Universidad de Salamanca (USAL), 37007, Salamanca, Spain.
N Del-ToroEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
J HeimbachCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
H HermjakobEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
I JurisicaKrembil Research Institute, University Health Network, Toronto, ON, M5T 2S8, Canada.
M KochEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
L LicataDepartment of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy.
R C LoveringInstitute of Cardiovascular Science, University College London, Rayne Building, 5 University Street, London, WC1E 6JF, UK.
D J LynnEMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, Australia.
B H M MeldalEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
G MicklemCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
S PanniDepartment of Biology, Ecology and Earth Sciences, Università della Calabria, Rende, Italy.
P PorrasEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
S Ricard-BlumUniv Lyon, University Claude Bernard Lyon 1, INSA Lyon, CPE, Institute of Molecular and Supramolecular Chemistry and Biochemistry (ICBMS), UMR 5246, F-69622, Villeurbanne, France.
B RoechertSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel Servet, 1211, Geneva 4, Switzerland.
L SalwinskiUCLA-DOE Institute for Genomics and Proteomics, Los Angeles, USA.
A ShrivastavaEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
J SullivanCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
N Thierry-MiegTIMC-IMAG, CNRS, Univ. Grenoble Alpes, F-38000, Grenoble, France.
Y YehudiCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
K Van RoeyStructural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, D-69117, Heidelberg, Germany.
S OrchardEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK. orchard@ebi.ac.uk.ORCID 0000-0002-8878-3972

Funding

A Core Database of Interacting Proteins (DIP)R01GM071909 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SALWINSKI, LUKASZ · 2006 to 2013
$4.0M
ENHANCING THE INTERNATIONAL MOLECULAR EXCHANGE (IMEX): PROVIDING AN IMPROVED COMMUNITY-ORIENTED MOLECULAR INTERACTIONS RESOURCER01GM123126 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PELLEGRINI, MATTEO · 2018 to 2021
$2.0M
Biotechnology and Biological Sciences Research Council BB/L024179/1NIGMS NIH HHS R01 GM071909NIGMS NIH HHS R01 GM123126Wellcome Trust
6 · The paper itself

Abstract

backgroundSystems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes.

resultsThe Molecular Interaction workgroup of the HUPO-PSI has extended the existing, well-used XML interchange format for molecular interaction data to meet new use cases and enable the capture of new data types, following extensive community consultation. PSI-MI XML3.0 expands the capabilities of the format beyond simple experimental data, with a concomitant update of the tool suite which serves this format. The format has been implemented by key data producers such as the International Molecular Exchange (IMEx) Consortium of protein interaction databases and the Complex Portal.

conclusionsPSI-MI XML3.0 has been developed by the data producers, data users, tool developers and database providers who constitute the PSI-MI workgroup. This group now actively supports PSI-MI XML2.5 as the main interchange format for experimental data, PSI-MI XML3.0 which additionally handles more complex data types, and the simpler, tab-delimited MITAB2.5, 2.6 and 2.7 for rapid parsing and download.

Indexed as

Protein Interaction MapsProteomicsDatabases, ProteinHumansMutationProteomeSystems BiologyProteomeData standardsHUPO-PSIMolecular interactionsProtein complexesProtein-protein interactionPSI-MIXML

Identifiers

PMID29642841
PMCPMC5896046

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.