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IMEx | Protein interaction data curation: consortium

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Stores a non-redundant set of protein interactions. IMEx is a consortium that made a data resource, which enables user to download, combine, visualize and analyze data in a single format from multiple resources. The database collates experimental evidences from any species for which interaction data is available. It is curated from direct submissions or peer-reviewed journals.

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IMEx classification

IMEx specifications

Unique identifier:
OMICS_01545
Restrictions to use:
None
Maintained:
Yes
Name:
International Molecular Exchange
Data access:
Browse

IMEx support

Documentation

Maintainer

  • Sandra Orchard <>

Credits

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Publications

Institution(s)

European Molecular Biology Laboratory – European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK; University of California, Los Angeles Department of Energy Institute for Genomics and Proteomics, Los Angeles, CA, USA; Molecular Connections Pvt. Ltd., Kandala Mansions, Bangalore, India; The J. Craig Venter Institute, Rockville, MD, USA; Swiss-Prot group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland; Department of Biology, University of Rome Tor Vergata, , Rome, Italy; Department of Molecular Biology and Biochemistry, University Drive, Simon Fraser University, BurnabyBC, Canada; Instituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Fondazione S. Lucia, Rome, Italy; Wellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, Scotland; Institut de Biologie et Chimie des Protéines, UMR 5086 CNRS – Université Lyon 1, IFR 128 Biosciences Gerland Lyon Sud, Lyon, France; Ontario Institute for Cancer Research, MaRS Centre, South Tower, Toronto, ON, Canada; Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, BC, Canada; Ontario Cancer Institute, the Campbell Family Institute for Cancer Research, and Techna Institute, University Health Network, Toronto, ON, Canada; Animal & Bioscience Research Department, AGRIC, Teagasc, Grange, Dunsany, Co. Meath, Ireland; Helmholtz Zentrum Munchen - German Research Center for Environmental Health, Institute of Bioinformatics and Systems Biology (MIPS), Neuherberg, Germany; Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, ON, Canada; Proteros Biostructures, Martinsried, Germany; Center for the Study of Biological Complexity, Virginia Commonwealth University, Richmond, VA, USA; Vital-IT group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, Bâtiment Génopode, Lausanne, Switzerland; University of Lausanne, Quartier Sorge, Bâtiment Génopode, Lausanne, Switzerland

Funding source(s)

Supported by the European Commission under PSIMEx, contract number FP7-HEALTH-2007-223411, in part by AntiPathoGN, contract number HEALTH-F3-2009-223101, SLING, contract number 226073, APO-SYS, contract number FP7-HEALTH-2007-200767), the Ontario Research Fund (GL2-01-030), Canada Foundation for Innovation (CFI #12301 and CFI #203383) and National Institutes of Health grant GM071909.

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