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A community standard format for the representation of protein affinity reagents.

hal.structure.identifierEuropean Bioinformatics Institute [Hinxton] [EMBL-EBI]
hal.structure.identifierUniversity of Copenhagen = Københavns Universitet [UCPH]
dc.contributor.authorGLORIAM, David E
hal.structure.identifierEuropean Bioinformatics Institute [Hinxton] [EMBL-EBI]
dc.contributor.authorORCHARD, Sandra
hal.structure.identifierUniversität Kassel [Kassel]
dc.contributor.authorBERTINETTI, Daniela
hal.structure.identifierKTH Royal Institute of Technology [Stockholm] [KTH]
dc.contributor.authorBJÖRLING, Erik
hal.structure.identifierSwedish University of Agricultural Sciences = Sveriges lantbruksuniversitet [SLU]
dc.contributor.authorBONGCAM-RUDLOFF, Erik
hal.structure.identifierBiomedical Centre [Lund] [BMC]
dc.contributor.authorBORREBAECK, Carl A K
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierModels and Algorithms for the Genome [ MAGNOME]
dc.contributor.authorBOURBEILLON, Julie
hal.structure.identifierLos Alamos National Laboratory [LANL]
dc.contributor.authorBRADBURY, Andrew R M
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierCentre de Bioinformatique de Bordeaux [CBIB]
dc.contributor.authorDE DARUVAR, Antoine
hal.structure.identifierTechnische Universität Braunschweig = Technical University of Braunschweig [Braunschweig]
dc.contributor.authorDÜBEL, Stefan
hal.structure.identifierHelmholtz Centre for Infection Research [HZI]
dc.contributor.authorFRANK, Ronald
hal.structure.identifierEuropean Molecular Biology Laboratory [Heidelberg] [EMBL]
dc.contributor.authorGIBSON, Toby J
hal.structure.identifierSomaLogic
dc.contributor.authorGOLD, Larry
hal.structure.identifierEuropean Molecular Biology Laboratory [Heidelberg] [EMBL]
dc.contributor.authorHASLAM, Niall
hal.structure.identifierUniversität Kassel [Kassel]
dc.contributor.authorHERBERG, Friedrich W
hal.structure.identifierNational Institutes of Health [Bethesda, MD, USA] [NIH]
dc.contributor.authorHILTKE, Tara
hal.structure.identifierGerman Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] [DKFZ]
dc.contributor.authorHOHEISEL, Jörg D
hal.structure.identifierEuropean Bioinformatics Institute [Hinxton] [EMBL-EBI]
dc.contributor.authorKERRIEN, Samuel
hal.structure.identifierGerman resource center for genome Research [RZPD]
dc.contributor.authorKOEGL, Manfred
hal.structure.identifierMax Planck Institute for Molecular Genetics [MPIMG]
dc.contributor.authorKONTHUR, Zoltán
hal.structure.identifierGerman Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] [DKFZ]
dc.contributor.authorKORN, Bernhard
hal.structure.identifierUppsala University
dc.contributor.authorLANDEGREN, Ulf
hal.structure.identifierEuropean Bioinformatics Institute [Hinxton] [EMBL-EBI]
dc.contributor.authorMONTECCHI-PALAZZI, Luisa
hal.structure.identifierCentre de Bioinformatique de Bordeaux [CBIB]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorPALCY, Sandrine
hal.structure.identifierNational Institutes of Health [Bethesda, MD, USA] [NIH]
dc.contributor.authorRODRIGUEZ, Henry
hal.structure.identifierUniversität Kassel [Kassel]
dc.contributor.authorSCHWEINSBERG, Sonja
hal.structure.identifierMax Planck Institute for Molecular Genetics [MPIMG]
dc.contributor.authorSIEVERT, Volker
hal.structure.identifierThe Babraham Institute [Cambridge, UK]
dc.contributor.authorSTOEVESANDT, Oda
hal.structure.identifierThe Babraham Institute [Cambridge, UK]
dc.contributor.authorTAUSSIG, Michael J
hal.structure.identifierHelmholtz Zentrum München = German Research Center for Environmental Health [HMGU]
dc.contributor.authorUEFFING, Marius
hal.structure.identifierKTH Royal Institute of Technology [Stockholm] [KTH]
dc.contributor.authorUHLÉN, Mathias
hal.structure.identifierLeiden University Medical Center [LUMC]
dc.contributor.authorVAN DER MAAREL, Silvère
hal.structure.identifierDepartment of Immunotechnology
dc.contributor.authorWINGREN, Christer
hal.structure.identifierGlaxo Smith Kline [Harlow]
dc.contributor.authorWOOLLARD, Peter
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierModels and Algorithms for the Genome [ MAGNOME]
dc.contributor.authorSHERMAN, David James
hal.structure.identifierEuropean Bioinformatics Institute [Hinxton] [EMBL-EBI]
dc.contributor.authorHERMJAKOB, Henning
dc.date.accessioned2024-04-15T09:52:09Z
dc.date.available2024-04-15T09:52:09Z
dc.date.issued2010-01
dc.identifier.issn1535-9476
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198493
dc.description.abstractEnProtein affinity reagents (PARs), most commonly antibodies, are essential reagents for protein characterization in basic research, biotechnology, and diagnostics as well as the fastest growing class of therapeutics. Large numbers of PARs are available commercially; however, their quality is often uncertain. In addition, currently available PARs cover only a fraction of the human proteome, and their cost is prohibitive for proteome scale applications. This situation has triggered several initiatives involving large scale generation and validation of antibodies, for example the Swedish Human Protein Atlas and the German Antibody Factory. Antibodies targeting specific subproteomes are being pursued by members of Human Proteome Organisation (plasma and liver proteome projects) and the United States National Cancer Institute (cancer-associated antigens). ProteomeBinders, a European consortium, aims to set up a resource of consistently quality-controlled protein-binding reagents for the whole human proteome. An ultimate PAR database resource would allow consumers to visit one on-line warehouse and find all available affinity reagents from different providers together with documentation that facilitates easy comparison of their cost and quality. However, in contrast to, for example, nucleotide databases among which data are synchronized between the major data providers, current PAR producers, quality control centers, and commercial companies all use incompatible formats, hindering data exchange. Here we propose Proteomics Standards Initiative (PSI)-PAR as a global community standard format for the representation and exchange of protein affinity reagent data. The PSI-PAR format is maintained by the Human Proteome Organisation PSI and was developed within the context of ProteomeBinders by building on a mature proteomics standard format, PSI-molecular interaction, which is a widely accepted and established community standard for molecular interaction data. Further information and documentation are available on the PSI-PAR web site.
dc.language.isoen
dc.publisherAmerican Society for Biochemistry and Molecular Biology
dc.title.enA community standard format for the representation of protein affinity reagents.
dc.typeArticle de revue
dc.identifier.doi10.1074/mcp.M900185-MCP200
dc.subject.halSciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
dc.description.sponsorshipEuropeA European Infrastructure of Ligand Binding Molecules Against the Human Proteome
bordeaux.journalMolecular and Cellular Proteomics
bordeaux.page1-10
bordeaux.volume9
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierinria-00544751
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00544751v1
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