An Ontology for Protein Data Models
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 i...
| Main Authors: | , , |
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| Format: | Conference Paper |
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IEEE Engineering in Medicine and Biology Society
2005
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/33490 |
| _version_ | 1848753960901410816 |
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| author | Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth |
| author_facet | Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth |
| author_sort | Sidhu, Amandeep |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:32:49Z |
| format | Conference Paper |
| id | curtin-20.500.11937-33490 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:32:49Z |
| publishDate | 2005 |
| publisher | IEEE Engineering in Medicine and Biology Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-334902020-06-09T06:49:13Z An Ontology for Protein Data Models Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth Data Integration Biomedical Systems Protein Ontology Biomedical Ontologies Protein Informatics 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. 2005 Conference Paper http://hdl.handle.net/20.500.11937/33490 10.1109/IEMBS.2005.1615890 IEEE Engineering in Medicine and Biology Society fulltext |
| spellingShingle | Data Integration Biomedical Systems Protein Ontology Biomedical Ontologies Protein Informatics Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth An Ontology for Protein Data Models |
| title | An Ontology for Protein Data Models |
| title_full | An Ontology for Protein Data Models |
| title_fullStr | An Ontology for Protein Data Models |
| title_full_unstemmed | An Ontology for Protein Data Models |
| title_short | An Ontology for Protein Data Models |
| title_sort | ontology for protein data models |
| topic | Data Integration Biomedical Systems Protein Ontology Biomedical Ontologies Protein Informatics |
| url | http://hdl.handle.net/20.500.11937/33490 |