Creating a protein ontology resource
Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other data sources. Current approaches do not provide methods both for generic mapping protein data representation, depicting int...
| Main Authors: | , , |
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| Format: | Conference Paper |
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IEEE
2005
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| Online Access: | http://hdl.handle.net/20.500.11937/13579 |
| _version_ | 1848748383171248128 |
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| author | Chang, Elizabeth Sidhu, Amandeep Dillon, Tharam S. |
| author_facet | Chang, Elizabeth Sidhu, Amandeep Dillon, Tharam S. |
| author_sort | Chang, Elizabeth |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other data sources. Current approaches do not provide methods both for generic mapping protein data representation, depicting interactions in data it describes and for interfacing existing data. The proposed Protein Ontology shows the value of hierarchy and relationships present in proteomics data. The creation of a Protein Ontology provides understanding of diverse types of data like:(1) Protein Entry Details(2) 3D Structural Representations of Proteins(3) Structural Folds and domains conserved in proteins(4) Functional Domains and Families created based on Physiological and Pathological Functions of Proteins, and(5) Various Constraints like Genetic Defects and Chemical Properties of Cell that affect Final Stable Molecular Structure of Protein.Protein Ontology describes the concepts of interest in protein complex mechanisms and proteomics process. |
| first_indexed | 2025-11-14T07:04:10Z |
| format | Conference Paper |
| id | curtin-20.500.11937-13579 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:04:10Z |
| publishDate | 2005 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-135792017-01-30T11:38:01Z Creating a protein ontology resource Chang, Elizabeth Sidhu, Amandeep Dillon, Tharam S. Data Integration Systems Biology Biomedical Systems Protein Ontology Biomedical Ontologies Protein Informatics Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other data sources. Current approaches do not provide methods both for generic mapping protein data representation, depicting interactions in data it describes and for interfacing existing data. The proposed Protein Ontology shows the value of hierarchy and relationships present in proteomics data. The creation of a Protein Ontology provides understanding of diverse types of data like:(1) Protein Entry Details(2) 3D Structural Representations of Proteins(3) Structural Folds and domains conserved in proteins(4) Functional Domains and Families created based on Physiological and Pathological Functions of Proteins, and(5) Various Constraints like Genetic Defects and Chemical Properties of Cell that affect Final Stable Molecular Structure of Protein.Protein Ontology describes the concepts of interest in protein complex mechanisms and proteomics process. 2005 Conference Paper http://hdl.handle.net/20.500.11937/13579 IEEE fulltext |
| spellingShingle | Data Integration Systems Biology Biomedical Systems Protein Ontology Biomedical Ontologies Protein Informatics Chang, Elizabeth Sidhu, Amandeep Dillon, Tharam S. Creating a protein ontology resource |
| title | Creating a protein ontology resource |
| title_full | Creating a protein ontology resource |
| title_fullStr | Creating a protein ontology resource |
| title_full_unstemmed | Creating a protein ontology resource |
| title_short | Creating a protein ontology resource |
| title_sort | creating a protein ontology resource |
| topic | Data Integration Systems Biology Biomedical Systems Protein Ontology Biomedical Ontologies Protein Informatics |
| url | http://hdl.handle.net/20.500.11937/13579 |