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
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;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6115747