Protein Ontology: a controlled structured network of protein entities

The Protein Ontology (PRO; http://proconsortium.org) formally defines protein entities and explicitly represents their major forms and interrelations. Protein entities represented in PRO corresponding to single amino acid chains are categorized by level of specificity into family, gene, sequence and...

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Published in:Nucleic acids research Vol. 42; no. Database issue; pp. D415 - D421
Main Authors: Natale, Darren A, Arighi, Cecilia N, Blake, Judith A, Bult, Carol J, Christie, Karen R, Cowart, Julie, D'Eustachio, Peter, Diehl, Alexander D, Drabkin, Harold J, Helfer, Olivia, Huang, Hongzhan, Masci, Anna Maria, Ren, Jia, Roberts, Natalia V, Ross, Karen, Ruttenberg, Alan, Shamovsky, Veronica, Smith, Barry, Yerramalla, Meher Shruti, Zhang, Jian, AlJanahi, Aisha, Çelen, Irem, Gan, Cynthia, Lv, Mengxi, Schuster-Lezell, Emily, Wu, Cathy H
Format: Journal Article
Language:English
Published: England Oxford University Press 01-01-2014
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Summary:The Protein Ontology (PRO; http://proconsortium.org) formally defines protein entities and explicitly represents their major forms and interrelations. Protein entities represented in PRO corresponding to single amino acid chains are categorized by level of specificity into family, gene, sequence and modification metaclasses, and there is a separate metaclass for protein complexes. All metaclasses also have organism-specific derivatives. PRO complements established sequence databases such as UniProtKB, and interoperates with other biomedical and biological ontologies such as the Gene Ontology (GO). PRO relates to UniProtKB in that PRO's organism-specific classes of proteins encoded by a specific gene correspond to entities documented in UniProtKB entries. PRO relates to the GO in that PRO's representations of organism-specific protein complexes are subclasses of the organism-agnostic protein complex terms in the GO Cellular Component Ontology. The past few years have seen growth and changes to the PRO, as well as new points of access to the data and new applications of PRO in immunology and proteomics. Here we describe some of these developments.
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ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkt1173