• DocumentCode
    1992110
  • Title

    Determining Domain Similarity and Domain-Protein Similarity Using Functional Similarity Measurements of Gene Ontology Terms

  • Author

    Guntly, Lisa M. ; Leopold, Jennifer L. ; Maglia, Anne M.

  • Author_Institution
    Univ. of Missouri-Rolla, Rolla
  • fYear
    2007
  • fDate
    14-17 Oct. 2007
  • Firstpage
    1209
  • Lastpage
    1213
  • Abstract
    Protein domains typically correspond to major functional sites of a protein. Therefore, determining similarity between domains can aid in the comparison of protein functions, and can provide a basis for grouping domains based on function. One strategy for comparing domain similarity and domain-protein similarity is to use similarity measurements of annotation terms from the Gene Ontology (GO). In this paper five methods are analyzed in terms of their usefulness for comparing domains, and comparing domains to proteins based on GO terms.
  • Keywords
    biochemistry; biology computing; genetics; molecular biophysics; ontologies (artificial intelligence); proteins; GO annotation terms; domain similarity determination; domain-protein similarity; functional similarity measurements; gene ontology; Amino acids; Biological control systems; Computer science; Databases; Fingers; Ontologies; Organizational aspects; Proteins; Vocabulary; Zinc; Gene Ontology; domain; protein;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-1509-0
  • Type

    conf

  • DOI
    10.1109/BIBE.2007.4375717
  • Filename
    4375717