Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions.
Sivade Dumousseau MEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Alonso-López DCancer Research Center (CiC-IBMCC, CSIC/USAL/IBSAL), Consejo Superior de Investigaciones Científicas (CSIC) and Universidad de Salamanca (USAL), 37007, Salamanca, Spain.
Ammari MSchool of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, USA.
Campbell NHInstitute of Cardiovascular Science, University College London, Rayne Building, 5 University Street, London, WC1E 6JF, UK.
Ceol ACenter for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), Via Adamello 16, I-20139, Milan, Italy.
Cesareni GDepartment of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy.
Combe CWellcome Trust Centre for Cell Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, EH9 3BF, UK.
De Las Rivas JCancer Research Center (CiC-IBMCC, CSIC/USAL/IBSAL), Consejo Superior de Investigaciones Científicas (CSIC) and Universidad de Salamanca (USAL), 37007, Salamanca, Spain.
Del-Toro NEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Heimbach JCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Hermjakob HEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Jurisica IKrembil Research Institute, University Health Network, Toronto, ON, M5T 2S8, Canada.
Koch MEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Licata LDepartment of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, Rome, Italy.
Lovering RCInstitute of Cardiovascular Science, University College London, Rayne Building, 5 University Street, London, WC1E 6JF, UK.
Lynn DJEMBL Australia Group, South Australian Health and Medical Research Institute, Adelaide, Australia.
Meldal BHMEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Micklem GCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Panni SDepartment of Biology, Ecology and Earth Sciences, Università della Calabria, Rende, Italy.
Porras PEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Ricard-Blum SUniv Lyon, University Claude Bernard Lyon 1, INSA Lyon, CPE, Institute of Molecular and Supramolecular Chemistry and Biochemistry (ICBMS), UMR 5246, F-69622, Villeurbanne, France.
Roechert BSIB Swiss Institute of Bioinformatics, Centre Medical Universitaire, 1 rue Michel Servet, 1211, Geneva 4, Switzerland.
Salwinski LUCLA-DOE Institute for Genomics and Proteomics, Los Angeles, USA.
Shrivastava AEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Sullivan JCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Thierry-Mieg NTIMC-IMAG, CNRS, Univ. Grenoble Alpes, F-38000, Grenoble, France.
Yehudi YCambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Van Roey KStructural and Computational Biology Unit, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, D-69117, Heidelberg, Germany.
Orchard SEuropean Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, CB10 1SD, UK. orchard@ebi.ac.uk.
English
BACKGROUND Systems 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.
RESULTS The 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.
CONCLUSIONS PSI-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.