David W. Ritchie
Ritchie, David
![Sudoc [ABES], France](/viaf/images/flags/SUDOC.png "Sudoc [ABES], France")
VIAF ID: 305398372 ( Personal )
Permalink: http://viaf.org/viaf/305398372
Preferred Forms
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100 0 _
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David W. Ritchie
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100 1 _
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Ritchie, David
4xx's: Alternate Name Forms (4)
Works
| Title | Sources |
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| Accelerating and focusing protein-protein docking correlations using multi-dimensional rotational FFT generating functions. |
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| Approches à base de graphes pour l’annotation de la fonction des protéines et la découverte des connaissances. |
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| Blind prediction of interfacial water positions in CAPRI |
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| Comprehensive comparison of ligand-based virtual screening tools against the DUD data set reveals limitations of current 3D methods. |
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| Contribution in estimation of similarity from a set of tomographic projections taken at unknown directions. |
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| Découverte automatique des associations cachées en utilisant la similarité vectorielle : application à la prédiction de l'annotation biologique. |
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| Detecting drug promiscuity using Gaussian ensemble screening. |
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| Discovery of novel HIV entry inhibitors for the CXCR4 receptor by prospective virtual screening. |
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| DockTrina: docking triangular protein trimers. |
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| Evaluation of protein docking predictions using Hex 3.1 in CAPRI rounds 1 and 2. |
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| Exploring c-Met kinase flexibility by sampling and clustering its conformational space. |
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| Extraction de connaissances pour la modélisation tri-dimensionnelle de l'interactome structural |
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| Flexible protein docking refinement using pose-dependent normal mode analysis. |
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| gEMfitter: a highly parallel FFT-based 3D density fitting tool with GPU texture memory acceleration. |
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| gEMpicker: a highly parallel GPU-accelerated particle picking tool for cryo-electron microscopy. |
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| GES polypharmacology fingerprints: a novel approach for drug repositioning. |
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| GESSE: Predicting Drug Side Effects from Drug-Target Relationships. |
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| HPC developpements for a new inverse docking method and matrix proteins applications.. |
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| Identification and characterisation of a novel immune-type receptor (NITR) gene cluster in the European sea bass, Dicentrarchus labrax, reveals recurrent gene expansion and diversification by positive selection |
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| KBDOCK 2013: a spatial classification of 3D protein domain family interactions. |
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| Knowledge-based approaches for modelling the 3D structural interactome. |
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| Modeling the structural basis of human CCR5 chemokine receptor function: from homology model building and molecular dynamics validation to agonist and antagonist docking |
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| New strategies for protein structure analysis and prediction. |
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| Nouvelles approches pour l'analyse et la prédiction de la structure tridimensionnelle des protéines |
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| On Graph-Based Approaches for Protein Function Annotation and Knowledge Discovery |
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| Predicting drug polypharmacology using a novel surface property similarity-based approach. |
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| Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment |
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| Processus de branchements non Markoviens en dynamique et génétique des populations |
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| Protein docking using case-based reasoning. |
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| Protein-protein docking by fast generalized Fourier transforms on 5D rotational manifolds. |
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| Recent Progress and Future Directions in Protein-Protein Docking |
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| Recent trends and future prospects in computational GPCR drug discovery: from virtual screening to polypharmacology. |
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| Representing and comparing protein folds and fold families using three-dimensional shape-density representations. |
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| Spatial clustering of protein binding sites for template based protein docking. |
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| Topological and domain Knowledge-based subgraph mining : application on protein 3D-structures |
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| Ultra-fast FFT protein docking on graphics processors. |
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| Unraveling the molecular architecture of a G protein-coupled receptor/β-arrestin/Erk module complex. |
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| Using consensus-shape clustering to identify promiscuous ligands and protein targets and to choose the right query for shape-based virtual screening |
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| Using Spherical Harmonic Surface Property Representations for Ligand-Based Virtual Screening. |
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