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
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