The protein ontology project: Structured vocabularies for proteins

Chang, Elizabeth; Sidhu, Amandeep; Sidhu, B.; Dillon, Tharam S.

doi:10.2495/DATA050101

Access Status

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Authors

Chang, Elizabeth

Sidhu, Amandeep

Sidhu, B.

Dillon, Tharam S.

Date

2005

Type

Conference Paper

Metadata

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Citation

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

Source Conference

6th International Conference on Data Mining, Text Mining and their Business Applications

DOI

10.2495/DATA050101

Additional URLs

http://library.witpress.com/pages/listpapers.asp?q_bid=327&q_subject=Computing%20_%20Information%20Management

Faculty

Curtin Business School

School of Information Systems

School

Centre for Extended Enterprises and Business Intelligence

URI

http://hdl.handle.net/20.500.11937/36704

Collection

Curtin Research Publications

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.