An Ontology for Protein Data Models
|dc.contributor.author||Dillon, Tharam S.|
|dc.identifier.citation||Sidhu, Amandeep S. and Dillon, Tharam S. and Chang, Elizabeth. 2005. : An Ontology for Protein Data Models, in Zhang, Y. T. and Roux, C. and Zhuang, T. G. (ed), 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2005), 01-04 September 2005, pp. 6120-6123. Shanghai: IEEE Engineering in Medicine and Biology Society.|
Accelerating availability of protein sequences and structures has transformed both the theory and practice of computational biology. The current systems of nomenclature for proteins remain divergent even when the experts appreciate the underlying similarities. Interoperability of protein databases is limited to lack of progress in the way the biologists describe and conceptualize the shared biological elements in protein data. The goal of the proposed protein ontology is a step forward to address these concerns by is producing a structured vocabulary that can be applied to all proteins even as the knowledge of protein roles in the cells is still accumulating and changing. A Database of 10 Major Prion Proteins available in various Protein data sources, based on the vocabulary provided by Protein Ontology is made available.
|dc.publisher||IEEE Engineering in Medicine and Biology Society|
|dc.title||An Ontology for Protein Data Models|
|dcterms.source.title||Proceedings of 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society|
|dcterms.source.conference||27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2005)|
|dcterms.source.conference-start-date||01-04 September 2005|
Copyright 2005 IEEE
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|curtin.faculty||Curtin Business School|
|curtin.faculty||School of Information Systems|