How to cite this record FAIRsharing.org: PRO; PRotein Ontology; DOI: https://doi.org/10.25504/FAIRsharing.4ndncv; Last edited: Feb. 22, 2018, 2:41 p.m.; Last accessed: Sep 24 2018 1:17 p.m.
Record updated: Nov. 29, 2016, 9:56 p.m. by The FAIRsharing Team.
Edits to 'https://fairsharing.org/FAIRsharing.4ndncv' by 'The FAIRsharing Team' at 21:56, 29 Nov 2016 (approved): 'homepage' has been modified: Before: http://purl.obolibrary.org/obo/pr After: http://proconsortium.org/pro/
|online documentation||http://proconsortium.org/pro/pro_dcmtt.s ...|
No XSD schemas defined
Conditions of UseApplies to: Data use
|Download Ontology (OWL format)||http://purl.obolibrary.org/obo/pr.owl|
|Download Ontology (OBO format)||http://purl.obolibrary.org/obo/pr.obo|
|Search or Browse Ontology||http://purl.obolibrary.org/obo/pr|
The representation of protein complexes in the Protein Ontology (PRO).
Bult CJ,Drabkin HJ,Evsikov A,Natale D,Arighi C,Roberts N,Ruttenberg A,D'Eustachio P,Smith B,Blake JA,Wu C
BMC Bioinformatics 2011
Framework for a protein ontology.
Natale DA,Arighi CN,Barker WC,Blake J,Chang TC,Hu Z,Liu H,Smith B,Wu CH
BMC Bioinformatics 2007
The Protein Ontology: a structured representation of protein forms and complexes.
Natale DA,Arighi CN,Barker WC,Blake JA,Bult CJ,Caudy M,Drabkin HJ,D'Eustachio P,Evsikov AV,Huang H,Nchoutmboube J,Roberts NV,Smith B,Zhang J,Wu CH
Nucleic Acids Res 2011
Protein Ontology: a controlled structured network of protein entities.
Natale DA,Arighi CN,Blake JA,Bult CJ,Christie KR,Cowart J,D'Eustachio P,Diehl AD,Drabkin HJ,Helfer O,Huang H,Masci AM,Ren J,Roberts NV,Ross K,Ruttenberg A,Shamovsky V,Smith B,Yerramalla MS,Zhang J,AlJanahi A,Celen I,Gan C,Lv M,Schuster-Lezell E,Wu CH
Nucleic Acids Res 2014
No guidelines defined
Models and Formats
No identifier schema standards defined
The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka "UniProtKB/Swiss-Prot"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka "UniProtKB/TrEMBL").
Immunology Database and Analysis Portal
The ImmPort system serves as a long-term, sustainable archive of immunology research data generated by investigators mainly funded through the NIAID/DAIT. The core component of the ImmPort system is an extensive data warehouse containing an integration of experimental data and clinical trial data. The analytical tools created and integrated as part of the ImmPort system are available to any researcher within ImmPort after registration and approval by DAIT. Additionally, the data provided mainly by NIAID/DAIT funded researchers in ImmPort will be available to all registered users after the appropriate embargo time. ImmPort, is the data submission portal where researchers upload, QC, and curate their data prior to sharing in OpenImmPort.
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.
This record is not implemented by any policy.