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  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
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3D protein-protein docking using shape complementarity and fast alignment

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Autor
Axenopoulos, A.; Daras, P.; Papadopoulos, G.; Houstis, E.
Fecha
2011
DOI
10.1109/ICIP.2011.6115747
Materia
3D content processing
bioinformatics
biomedical imaging
feature extraction
3-D shape
3D content
Alignment methods
Descriptors
Initial alignment
Protein-protein docking
Rotation invariance
Rotation invariant
Shape complementarity
Surface patches
Alignment
Geometry
Image processing
Medical imaging
Proteins
Rotation
Three dimensional
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Resumen
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. © 2011 IEEE.
URI
http://hdl.handle.net/11615/26065
Colecciones
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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