DocumentCode
1586395
Title
An Ontology for Protein Data Models
Author
Sidhu, Amandeep S. ; Dillon, Tharam S. ; Chang, Elizabeth
Author_Institution
Fac. of Inf. Technol., Univ. of Technol., Sydney, NSW
fYear
2006
Firstpage
6120
Lastpage
6123
Abstract
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
Keywords
biology computing; molecular biophysics; molecular configurations; ontologies (artificial intelligence); proteins; cells; computational biology; interoperability; major prion proteins; ontology; protein data models; protein databases; protein sequences; protein structures; structured vocabulary; Acceleration; Biological system modeling; Computational biology; Data models; Databases; Ontologies; Organisms; Proteins; Sequences; Vocabulary; Biomedical Ontologies; Biomedical Systems; Data Integration; Protein Informatics; Protein Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1615890
Filename
1615890
Link To Document