Cited by 266Bioinformatics and Genomic NetworksAdvanced Proteomics Techniques and ApplicationsBiomedical Text Mining and Ontologies

Broadening the horizon – level 2.5 of the HUPO-PSI format for molecular interactions

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Kerrien, Samuel, Orchard, Sandra, Montecchi-Palazzi, Luisa, Aranda, Bruno, Quinn, Antony F, Vinod, Nisha, Bader, Gary D, Xenarios, Ioannis +22 more·2007·BMC Biology

Abstract

BACKGROUND: Molecular interaction Information is a key resource in modern biomedical research. Publicly available data have previously been provided in a broad array of diverse formats, making access to this very difficult. The publication and wide implementation of the Human Proteome Organisation Proteomics Standards Initiative Molecular Interactions (HUPO PSI-MI) format in 2004 was a major step towards the establishment of a single, unified format by which molecular interactions should be presented, but focused purely on protein-protein interactions. RESULTS: The HUPO-PSI has further developed the PSI-MI XML schema to enable the description of interactions between a wider range of molecular types, for example nucleic acids, chemical entities, and molecular complexes. Extensive details about each supported molecular interaction can now be captured, including the biological role of each molecule within that interaction, detailed description of interacting domains, and the kinetic parameters of the interaction. The format is supported by data management and analysis tools and has been adopted by major interaction data providers. Additionally, a simpler, tab-delimited format MITAB2.5 has been developed for the benefit of users who require only minimal information in an easy to access configuration. CONCLUSION: The PSI-MI XML2.5 and MITAB2.5 formats have been jointly developed by interaction data producers and providers from both the academic and commercial sector, and are already widely implemented and well supported by an active development community. PSI-MI XML2.5 enables the description of highly detailed molecular interaction data and facilitates data exchange between databases and users without loss of information. MITAB2.5 is a simpler format appropriate for fast Perl parsing or loading into Microsoft Excel.

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  • BioPAX follows the standard representation scheme of the Proteomics Standards Initiative Molecular Interaction (PSI-MI) format for molecular interactions.

    “BioPAX follows the standard representation scheme of the Proteomics Standards Initiative Molecular Interaction (PSI-MI) format38.”

    From The BioPAX community standard for pathway data sharing (2010) · cites this paper as [38]

  • BioPAX reuses standard controlled vocabularies, including Gene Ontology for cellular location, PSI-MI vocabularies for evidence codes and interaction types, and Sequence Ontology for sequence regions.

    “BioPAX reuses a number of standard controlled vocabularies defined by other groups. For example, Gene Ontology40 is used to describe cellular location, PSI-MI vocabularies38 are used to define evidence codes, experimental forms, interaction types, relationship types and sequence modifications, and Sequence Ontology41 is used to define types of sequence regions, such as a promoter region on DNA in”

    From The BioPAX community standard for pathway data sharing (2010) · cites this paper as [38]

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Authors
Kerrien, S., Orchard, S., Montecchi-Palazzi, L., Aranda, B., Quinn, A. F., Vinod, N., Bader, G. D., Xenarios, I., Wojcik, J., Sherman, D., Tyers, M., Salama, J. J., Moore, S., Ceol, A., Chatr-aryamontri, A., Oesterheld, M., Stümpflen, V., Salwinski, L., Nerothin, J., Cerami, E., Cusick, M. E., Vidal, M., Gilson, M., Armstrong, J., Woollard, P., Hogue, C., Eisenberg, D., Cesareni, G., Apweiler, R., & Hermjakob, H.
Affiliations
  • European Bioinformatics Institute (GB)
  • Mount Sinai Hospital (CA)
  • Merck Serono S.A. (Switzerland) (CH)
  • Laboratoire Bordelais de Recherche en Informatique (FR)
  • University of Rome Tor Vergata (IT)
  • University of California, Los Angeles (US)
  • Memorial Sloan Kettering Cancer Center (US)
  • Harvard University (US)
  • University of Maryland Biotechnology Institute (US)
  • GlaxoSmithKline (United Kingdom) (GB)
  • University of Toronto (CA)
Corresponding author
Kerrien, Samuel
Venue
BMC Biology
Published
2007-10-09
Volume
5
Issue
1
Pages
44-44
ISSN
1741-7007 (ISSN-L)
OpenAlex
W2158439765
Cited by
266
References
20
Citations by year
2026: 2 · 2025: 2 · 2024: 4 · 2023: 6 · 2022: 10 · 2021: 12 · 2020: 5 · 2019: 10 · 2018: 12 · 2017: 13 · 2016: 13 · 2015: 16 · 2014: 17 · 2013: 27 · 2012: 27
FWCI
8.47
Type
journal article
Language
en
Open access
Locations
  • BMC Biology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • SERVAL (Université de Lausanne) (publishedVersion, other-oa)
  • IRIS (submittedVersion, public-domain)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, public-domain)
  • TSpace (University of Toronto) (submittedVersion, public-domain)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • National University of Singapore (submittedVersion)
  • HAL (submittedVersion)
  • Cineca Institutional Research Information System (Tor Vergata University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Site cant be reached (submittedVersion)
Funders
  • U.S. Department of Energy (FC0302ER63421)
  • Genome Canada
  • Ontario Genomics
  • Ontario Genomics Institute
  • European Commission
  • National Institutes of Health
  • National Institute of General Medical Sciences (R01GM071909, GM070064, R01GM070064)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
Keywords
molecular interactions, protein-protein interaction, nucleic acid interactions, molecular complexes, interaction domains, data standardization
MeSH terms
Computer Graphics, Database Management Systems, Natural Language Processing, User-Computer Interface, Computational Biology, Protein Interaction Mapping, Databases, Protein, Proteomics

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