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
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;
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
DOI :
10.1109/IEMBS.2005.1615890