OWL, Proteins and Data Integration

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

OWL, Proteins and Data Integration

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

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence Proceedings, 2005, pp. 1158 - 1161
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	Zhang, S	en_US
dc.contributor.editor	Jarvis, R	en_US
dc.date	2005-12-05	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence Proceedings, 2005, pp. 1158 - 1161	en_US
dc.identifier.isbn	3-540-30462-2	en_US
dc.identifier.uri	http://hdl.handle.net/10453/1844
dc.description.abstract	In this paper we propose an approach to integrate protein information from various data sources by defining a Protein Ontology. Protein Ontology provides the technical and scientific infrastructure and knowledge to allow description and analysis of relationships between various proteins. Protein Ontology uses relevant protein data sources of information like PDB, SCOP, and OMIM. Protein Ontology describes: Protein Sequence and Structure Information, Protein Folding Process, Cellular Functions of Proteins, Molecular Bindings internal and external to Proteins, and Constraints affecting the Final Protein Conformation. Details about Protein Ontology are available online at http://www.proteinontology.info/.	en_US
dc.publisher	Springer	en_US
dc.relation.ispartof	AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence Proceedings	en_US
dc.relation.ispartof	Australasian Joint Conference on Artificial Intelligence	en_US
dc.relation.isbasedon	10.1007/11589990_161	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	OWL, Proteins and Data Integration	en_US
dc.type	Conference Proceeding
utslib.location	Berlin, Germany	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Sydney, Australia	en_US
dc.location.activity	Gold Coast, Australia
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	Berlin, Germany	en_US
pubs.start-date	2005-12-05	en_US

Abstract:

In this paper we propose an approach to integrate protein information from various data sources by defining a Protein Ontology. Protein Ontology provides the technical and scientific infrastructure and knowledge to allow description and analysis of relationships between various proteins. Protein Ontology uses relevant protein data sources of information like PDB, SCOP, and OMIM. Protein Ontology describes: Protein Sequence and Structure Information, Protein Folding Process, Cellular Functions of Proteins, Molecular Bindings internal and external to Proteins, and Constraints affecting the Final Protein Conformation. Details about Protein Ontology are available online at http://www.proteinontology.info/.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/1844