Ontology-based Knowledge Representation for Protein Data

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

doi:10.1109/INDIN.2005.1560433

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Access Status

Open access

Authors

Chang, Elizabeth

Sidhu, Amandeep

Dillon, Tharam S.

Sidhu, B.

Date

2005

Type

Conference Paper

Metadata

Show full item record

Citation

Chang, Elizabeth and Sidhu, Amandeep and Dillon, Tharam and Sidhu, Baldev. 2005. Ontology-based Knowledge Representation for Protein Data, in Dillon, T. and Yu, X and Chang, Elizabeth (ed), INDIN 2005: 3rd International Conference on Industrial Informatics, Frontier Technologies for the Future of Industry and Business, pp. 535-539, Aug 10-12 2005. Perth, WA: IEEE.

Source Title

INDIN 2005: 3rd International Conference on Industrial Informatics, Frontier Technologies for the Future of Industry and Business

Source Conference

INDIN 2005: 3rd International Conference on Industrial Informatics, Frontier Technologies for the Future of Industry and Business

DOI

10.1109/INDIN.2005.1560433

ISBN

0-7803-9094-6

Faculty

Curtin Business School

School of Information Systems

Remarks

Reprinted from: 2005 3rd IEEE International Conference on Industrial Informatics (INDIN) Perth, Australia 10-12 August 2005

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URI

http://hdl.handle.net/20.500.11937/26904

Collection

Curtin Research Publications

Abstract

The advances in information and communication technologies coupled with increased knowledge about genes and proteins have opened new perspectives for study of protein complexes. There is a growing need to integrate the knowledge about various protein complexes for effective disease prevention mechanisms, individualized medicines and treatments and other accepts of healthcare. In this paper we propose a protein ontology that handles the following computational challenges in the area proteomics and systems biology in general: (1) it provides more accurate interpretations and associations as conclusions are based on data and semantics. (2) It makes it possible to study relationships among proteins, protein folding, behaviour of protein under various environments, and most importantly cellular function of protein. This protein ontology is a unified terminology description integrating various protein database schemas and provides a easier way to predict and understand proteins.