• DocumentCode
    2817838
  • Title

    3D protein-protein docking using shape complementarity and fast alignment

  • Author

    Axenopoulos, Apostolos ; Daras, Petros ; Papadopoulos, Georgios ; Houstis, Elias

  • Author_Institution
    Dept. of Comput. & Commun. Eng., Univ. of Thessaly, Volos, Greece
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    1569
  • Lastpage
    1572
  • Abstract
    In this paper, a novel approach for fast protein-protein docking based on geometric complementarity is introduced. Complementarity matching is achieved using a rotation-invariant 3D shape descriptor, the Shape Impact Descriptor (SID). Rotation invariance enables matching of equally-sized surface patches without the need for initial alignment. The candidate poses are computed using an intuitive alignment method, which is much faster than exhaustively searching the translational and rotational space of the ligand. The method yields competitive results when compared to other well-known geometry-based, rigid-docking approaches.
  • Keywords
    feature extraction; geometry; image matching; medical image processing; proteins; shape recognition; 3D protein-protein docking; bioinformatics; biomedical imaging; complementarity matching; equally-sized surface patches; feature extraction; geometric complementarity; image alignment; rotation invariance; rotation-invariant 3D shape descriptor; shape complementarity; shape impact descriptor; Conferences; Context; Protein engineering; Proteins; Shape; Surface treatment; Three dimensional displays; 3D content processing; bioinformatics; biomedical imaging; feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6115747
  • Filename
    6115747