Protein Ontology: Semantic Data Integration in Proteomics

The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core b...

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Main Authors: Sidhu, Amandeep, Dillon, Tharam S., Chang, Elizabeth, Sidhu, B.
Format: Conference Paper
Published: KAIST Press 2005
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/40439
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author Sidhu, Amandeep
Dillon, Tharam S.
Chang, Elizabeth
Sidhu, B.
author_facet Sidhu, Amandeep
Dillon, Tharam S.
Chang, Elizabeth
Sidhu, B.
author_sort Sidhu, Amandeep
building Curtin Institutional Repository
collection Online Access
description The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core biological processes will again be probable orthologues. The structural and functional conservation in these proteins presents both opportunities and challenges. The main opportunity lies in the possibility of automated transfer of protein data annotations from experimentally traceable model organisms to a less traceable organism based on protein sequence similarity. Such information can be used to improve human health or agriculture. The challenge lies in using a common language to transfer protein data annotations among different species of organisms. First step in achieving this huge challenge is producing a structured, precisely defined common vocabulary using Protein Ontology. The Protein Ontology described in this paper covers the sequence, structure and biological roles of Protein Complexes in any organism.
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spelling curtin-20.500.11937-404392017-01-30T14:42:42Z Protein Ontology: Semantic Data Integration in Proteomics Sidhu, Amandeep Dillon, Tharam S. Chang, Elizabeth Sidhu, B. - Biomedical Ontologies Data Integration Systems Biology Biomedical Systems Protein Ontology Protein Informatics The Protein Structural and Functional Conservation need a common language for data definition. With the help of common language provided by Protein Ontology the high level of sequence and functional conservation can be extended to all organisms with the likelihood that proteins that carry out core biological processes will again be probable orthologues. The structural and functional conservation in these proteins presents both opportunities and challenges. The main opportunity lies in the possibility of automated transfer of protein data annotations from experimentally traceable model organisms to a less traceable organism based on protein sequence similarity. Such information can be used to improve human health or agriculture. The challenge lies in using a common language to transfer protein data annotations among different species of organisms. First step in achieving this huge challenge is producing a structured, precisely defined common vocabulary using Protein Ontology. The Protein Ontology described in this paper covers the sequence, structure and biological roles of Protein Complexes in any organism. 2005 Conference Paper http://hdl.handle.net/20.500.11937/40439 KAIST Press restricted
spellingShingle - Biomedical Ontologies
Data Integration
Systems Biology
Biomedical Systems
Protein Ontology
Protein Informatics
Sidhu, Amandeep
Dillon, Tharam S.
Chang, Elizabeth
Sidhu, B.
Protein Ontology: Semantic Data Integration in Proteomics
title Protein Ontology: Semantic Data Integration in Proteomics
title_full Protein Ontology: Semantic Data Integration in Proteomics
title_fullStr Protein Ontology: Semantic Data Integration in Proteomics
title_full_unstemmed Protein Ontology: Semantic Data Integration in Proteomics
title_short Protein Ontology: Semantic Data Integration in Proteomics
title_sort protein ontology: semantic data integration in proteomics
topic - Biomedical Ontologies
Data Integration
Systems Biology
Biomedical Systems
Protein Ontology
Protein Informatics
url http://hdl.handle.net/20.500.11937/40439