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Displaying 1-8 out of 8 total
A Shape Descriptor for Fast Complementarity Matching in Molecular Docking
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Apostolos Axenopoulos,Petros Daras,Georgios Papadopoulos,Elias N. Houstis
Issue Date:November 2011
pp. 1441-1457
This paper presents a novel approach for fast rigid docking of proteins based on geometric complementarity. After extraction of the 3D molecular surface, a set of local surface patches is generated based on the local surface curvature. The shape complement...
 
A Compact Multi-view Descriptor for 3D Object Retrieval
Found in: Content-Based Multimedia Indexing, International Workshop on
By Petros Daras, Apostolos Axenopoulos
Issue Date:June 2009
pp. 115-119
In this paper, a novel view-based approach for 3D object retrieval is introduced. A set of 2D images (multi-views) are automatically generated from a 3D object, by taking views from uniformly distributed viewpoints. For each image, a set of 2D rotation-inv...
 
Three-Dimensional Shape-Structure Comparison Method for Protein Classification
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Petros Daras, Dimitrios Zarpalas, Apostolos Axenopoulos, Dimitrios Tzovaras, Michael Gerassimos Strintzis
Issue Date:July 2006
pp. 193-207
In this paper, a 3D shape-based approach is presented for the efficient search, retrieval, and classification of protein molecules. The method relies primarily on the geometric 3D structure of the proteins, which is produced from the corresponding PDB file...
 
Content-based tag propagation and tensor factorization for personalized item recommendation based on social tagging
Found in: ACM Transactions on Interactive Intelligent Systems (TiiS)
By Apostolos Axenopoulos, Dimitrios Rafailidis, Jonas Etzold, Petros Daras, Stavroula Manolopoulou
Issue Date:January 2014
pp. 1-27
In this article, a novel method for personalized item recommendation based on social tagging is presented. The proposed approach comprises a content-based tag propagation method to address the sparsity and “cold start” problems, which often occ...
     
SP-Dock: Protein-Protein Docking Using Shape and Physicochemical Complementarity
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Apostolos Axenopoulos, Elias Houstis, Georgios E. Papadopoulos, Petros Daras
Issue Date:January 2013
pp. 135-150
In this paper, a framework for protein-protein docking is proposed, which exploits both shape and physicochemical complementarity to generate improved docking predictions. Shape complementarity is achieved by matching local surface patches. However, unlike...
     
A Shape Descriptor for Fast Complementarity Matching in Molecular Docking
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Apostolos Axenopoulos, Elias Houstis, Elias Houstis, Georgios Papadopoulos, Georgios Papadopoulos, Petros Daras, Petros Daras
Issue Date:November 2011
pp. 1441-1457
This paper presents a novel approach for fast rigid docking of proteins based on geometric complementarity. After extraction of the 3D molecular surface, a set of local surface patches is generated based on the local surface curvature. The shape complement...
     
Multimodal search and retrieval using manifold learning and query formulation
Found in: Proceedings of the 16th International Conference on 3D Web Technology (Web3D '11)
By Apostolos Axenopoulos, Petros Daras, Stavroula Manolopoulou
Issue Date:June 2011
pp. 51-56
In this paper a novel approach for multimodal search and retrieval is introduced. The searchable items are media representations consisting of multiple modalities, such as 2D images and 3D objects, which share a common semantic concept. The proposed method...
     
Three-Dimensional Shape-Structure Comparison Method for Protein Classification
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Apostolos Axenopoulos, Dimitrios Tzovaras, Dimitrios Zarpalas, Michael Gerassimos Strintzis, Petros Daras
Issue Date:July 2006
pp. 193-207
In this paper, a 3D shape-based approach is presented for the efficient search, retrieval, and classification of protein molecules. The method relies primarily on the geometric 3D structure of the proteins, which is produced from the corresponding PDB file...
     
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