@inproceedings{5c22195b4496459586cc8dfb922d446d,
title = "Framework for a protein ontology",
abstract = "Biomedical ontologies are emerging as critical tools in genomic and proteomic research where complex data in disparate resources need to be integrated. A number of ontologies exist that describe the properties that can be attributed to proteins; for example, protein functions are described by Gene Ontology, while human diseases are described by Disease Ontology. There is, however, a gap in the current set of ontologies - one that describes the protein entities themselves and their relationships. We have designed a PRotein Ontology (PRO) to facilitate protein annotation and to guide new experiments. The components of PRO extend from the classification of proteins on the basis of evolutionary relationships to the representation of the multiple protein forms of a gene (products generated by genetic variation, alternative splicing, proteolytic cleavage, and other post-translational modification). PRO will allow the specification of relationships between PRO, GO and other OBO Foundry ontologies. Here we describe the initial development of PRO, illustrated using human proteins from the TGF-beta signaling pathway (http://pir.georgetown.edu/ pro).",
keywords = "GO, OBO, OBO foundry, Ontology, PANTHER, PIRSF, Pfam, Protein, SCOP",
author = "Natale, {Darren A.} and Arighi, {Cecilia N.} and Winona Barker and Judith Blake and Chang, {Ti Cheng} and Zhangzhi Hu and Hongfang Liu and Barry Smith and Wu, {Cathy H.}",
year = "2006",
doi = "10.1145/1183535.1183544",
language = "English (US)",
isbn = "1595935266",
series = "Proceedings of TMBIO 2006: ACM First International Workshop on Text Mining in Bioinformatics",
pages = "29--36",
booktitle = "CIKM 2006 Workshop - Proceedings of TMBIO 2006",
note = "TMBIO 2006: ACM 1st International Workshop on Text Mining in Bioinformatics, held in conjunction with the ACM 15th Conference on Information and Knowledge Management, CIKM 2006 ; Conference date: 10-11-2006 Through 10-11-2006",
}