• DocumentCode
    2581048
  • Title

    Exploiting Geometrical Properties on Protein Similarity Search

  • Author

    Akbar, Saiful ; Küng, Josef ; Wagner, Roland

  • Author_Institution
    FAW, Johannes Kepler Univ., Linz
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    228
  • Lastpage
    234
  • Abstract
    This paper discusses about several combinations of protein similarity measurement-methods, with respect to normalization, spatial partitions, geometrical properties, and distance metrics. We compare the effectiveness of possible combinations to each other. Our experiment shows that the feature based on fractional occupancy outperforms other methods. In addition, merging individual features might also yield good result. A prototype of 3D protein geometrical-similarity retrieval system is built for implementing our approach
  • Keywords
    biology computing; geometry; information retrieval systems; merging; proteins; 3D protein geometrical-similarity retrieval system; distance metrics; fractional occupancy; geometrical property; protein similarity measurement; protein similarity search; spatial partition; Counting circuits; Drugs; Geometry; Histograms; Merging; Nuclear magnetic resonance; Protein engineering; Prototypes; Shape; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2006. DEXA '06. 17th International Workshop on
  • Conference_Location
    Krakow
  • ISSN
    1529-4188
  • Print_ISBN
    0-7695-2641-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2006.56
  • Filename
    1698340