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The protein ontology project: Structured vocabularies for proteins

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2005
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Conference Paper

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Chang, 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.
Source Title
Data Mining VI: Data mining, text mining and their business applications
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6th International Conference on Data Mining, Text Mining and their Business Applications
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Curtin Business School
School of Information Systems
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Centre for Extended Enterprises and Business Intelligence
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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.