• DocumentCode
    2338146
  • Title

    Retrieval of 3D protein structures

  • Author

    Chen, Shann-Ching ; Chen, Tsuhan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    24-28 June 2002
  • Firstpage
    933
  • Abstract
    A protein molecule is made of a long chain of amino acid sequences that fold into a complex three-dimensional structure. It is often the geometrical shapes that determine the protein functions. In molecular biology, researchers use sequence alignment and structure matching to compare the similarity among proteins. Considering proteins as 3D structures, we propose a novel algorithm to identify geometry-based features to retrieve similar proteins without having to deal with complex chemical characteristics and biological properties. A Web-based Dali server, which performs well in three-dimensional structure matching, is used as the ground truth to evaluate our algorithm. Our system performs close to the ground truth with much simplicity and efficiency.
  • Keywords
    biology computing; feature extraction; information retrieval; macromolecules; molecular biophysics; pattern matching; proteins; 3D protein structure retrieval; Dali server; Protein Data Bank; Research Collaboratory for Structural Bioinformatics; amino acid sequences; feature extraction; feature identification; geometry-based features; molecular biology; protein molecule; sequence alignment; structure matching; Amino acids; Atomic layer deposition; Biological information theory; Biology computing; Chemicals; Collaboration; Performance evaluation; Protein engineering; Sequences; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1039126
  • Filename
    1039126