OWL, proteins and data integration

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

doi:10.1007/11589990_161

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Access Status

Open access

Authors

Chang, Elizabeth

Sidhu, Amandeep

Dillon, Tharam S.

Sidhu, B.

Date

2005

Type

Conference Paper

Metadata

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Citation

Chang, Elizabeth and Sidhu, Amandeep and Dillon, Tharam S. and Sidhu, Baldev S.. 2005. : OWL, proteins and data integration, in Jarvis, R. and Zhang, S. (ed), 18th Australian Joint Conference on Artificial Intelligence (AI), Dec 05 2005, pp. 1158-1161. Sydney, Australia: Springer-Verlag.

Source Title

Lecture Notes in Computer Science: AI 2005: Advances in Artificial Intelligence: 18th Australian Joint Conference on Artificial Intelligence

Source Conference

18th Australian Joint Conference on Artificial Intelligence (AI)

DOI

10.1007/11589990_161

Faculty

Curtin Business School

School of Information Systems

School

Centre for Extended Enterprises and Business Intelligence

Remarks

The original publication is available at http://www.springerlink.com

http://dx.doi.org/10.1007/11589990_161

URI

http://hdl.handle.net/20.500.11937/3745

Collection

Curtin Research Publications

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/.