• 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