Ontology based knowledge representation for protein data

Sidhu, AS; Dillon, TS; Chang, E; Sidhu, B

Ontology based knowledge representation for protein data

Sidhu, AS Dillon, TS Chang, E Sidhu, B

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of 2005 3rd Intenational Conference on Industrial Infomatics (INDIN 2005), 2005, pp. 389 - 393
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Sidhu, AS	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.author	Chang, E	en_US
dc.contributor.author	Sidhu, B	en_US
dc.contributor.editor	Dillon, T	en_US
dc.contributor.editor	Yu, X	en_US
dc.date	2005-08-10	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Proceedings of 2005 3rd Intenational Conference on Industrial Infomatics (INDIN 2005), 2005, pp. 389 - 393	en_US
dc.identifier.isbn	0-7803-9095-4	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2652
dc.description.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.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Proceedings of 2005 3rd Intenational Conference on Industrial Infomatics (INDIN 2005)	en_US
dc.relation.ispartof	International Conference on Industrial Informatics	en_US
dc.relation.isbasedon	10.1109/INDIN.2005.1560433	en_US
dc.rights	© 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Ontology based knowledge representation for protein data	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Perth, Aust	en_US
utslib.for	0803 Computer Software	en_US
dc.location.activity	Perth, Aust	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2005-08-10	en_US

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.

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http://hdl.handle.net/10453/2652