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dc.contributor.authorChang, Elizabeth
dc.contributor.authorSidhu, Amandeep
dc.contributor.authorSidhu, B.
dc.contributor.authorDillon, Tharam S.
dc.date.accessioned2017-01-30T13:57:11Z
dc.date.available2017-01-30T13:57:11Z
dc.date.created2008-11-12T23:21:42Z
dc.date.issued2005
dc.identifier.citationChang, Elizabeth and Sidhu, Amandeep and Sidhu, B.S. and Dillon, T.S. 2005. : The protein ontology project: Structured vocabularies for proteins, in Zanasi, A. and Brebbia, C.A. and Ebecken, N.F.F. (ed), 6th International Conference on Data Mining, Text Mining and their Business Applications, May 25 2005, pp. 95-102. Skiathos, Greece: WIT Press.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/36704
dc.identifier.doi10.2495/DATA050101
dc.description.abstract

The rapid generation of accessible protein data sources has generated confusion over protein data representation. The protein ontology project seeks to provide a set of structured vocabularies for protein domains that can be used to describe cellular products in any organism. The work includes modelling protein structure and experimental data. The protein ontology framework describes: (1) Protein sequence and structure information, (2) Protein folding process, (3) Cellular functions of proteins, (4) Molecular bindings internal and external to Proteins and (5) External factors affecting final protein conformation. In this paper we will also discuss the implementation strategy for the protein ontology project. The protein ontology project provides a community resource using these, vocabularies promoting the use of common protein data representation. The goal of the protein ontology project is to produce a dynamic, controlled data and query vocabulary that can be applied to all proteins even as the knowledge of protein roles in cells is accumulating and changing.

dc.publisherWIT Press
dc.relation.urihttp://library.witpress.com/pages/listpapers.asp?q_bid=327&q_subject=Computing%20_%20Information%20Management
dc.subjectprotein structure
dc.subjectbiomedical ontologies
dc.subjectprotein ontology
dc.subjectprotein
dc.subjectcomputational proteomics
dc.subjectdata integration
dc.subjectprotein informatics
dc.subjectinformation systems
dc.subjectdata semantics
dc.subjectproteomics
dc.subjectbioinformatics
dc.titleThe protein ontology project: Structured vocabularies for proteins
dc.typeConference Paper
dcterms.source.startPage95
dcterms.source.endPage102
dcterms.source.titleData Mining VI: Data mining, text mining and their business applications
dcterms.source.seriesData Mining VI: Data mining, text mining and their business applications
dcterms.source.conference6th International Conference on Data Mining, Text Mining and their Business Applications
dcterms.source.conference-start-dateMay 25 2005
dcterms.source.conferencelocationSkiathos, Greece
dcterms.source.placeSouthampton
curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.identifierEPR-778
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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