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Osmar Norberto de Souza
Publications
- 2018
- [j13]Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz, Furia Gargano, Osmar Norberto de Souza:
A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model. BMC Bioinform. 19(1): 235:1-235:16 (2018) - 2015
- [j11]Renata De Paris, Christian Vahl Quevedo, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza, Rodrigo C. Barros:
Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. Comput. Intell. Neurosci. 2015: 916240:1-916240:9 (2015) - [c16]Renata De Paris, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza:
A Cloud-Based Workflow Approach for Optimizing Molecular Docking Simulations of Fully-Flexible Receptor Models and Multiple Ligands. CloudCom 2015: 495-498 - [c15]Patricia Hübler, Duncan Dubugras A. Ruiz, João Eduardo Ferreira, Osmar Norberto de Souza:
P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor model. SAC 2015: 54-57 - 2014
- [j10]Christian Vahl Quevedo, Renata De Paris, Duncan D. Ruiz, Osmar Norberto de Souza:
A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models. Expert Syst. Appl. 41(16): 7608-7620 (2014) - 2012
- [j6]Rodrigo C. Barros, Ana T. Winck, Karina S. Machado, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Duncan D. Ruiz, Osmar Norberto de Souza:
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinform. 13: 310 (2012) - [c13]Ana T. Winck, Christian Vahl Quevedo, Karina S. Machado, Osmar Norberto de Souza, Duncan D. Ruiz:
A Comparative Analysis of Public Ligand Databases Based on Molecular Descriptors. BSB 2012: 156-167 - 2011
- [j5]Karina S. Machado, Ana T. Winck, Duncan D. Ruiz, Osmar Norberto de Souza:
Mining flexible-receptor molecular docking data. WIREs Data Mining Knowl. Discov. 1(6): 532-541 (2011) - [c12]Renata De Paris, Fábio A. Frantz, Osmar Norberto de Souza, Duncan D. Ruiz:
A Conceptual Many Tasks Computing Architecture to Execute Molecular Docking Simulations of a Fully-Flexible Receptor Model. BSB 2011: 75-78 - 2010
- [c11]Karina S. Machado, Ana T. Winck, Duncan D. Ruiz, Osmar Norberto de Souza:
Discretization of Flexible-Receptor Docking Data. BSB 2010: 75-79 - 2009
- [c10]Ana T. Winck, Karina S. Machado, Osmar Norberto de Souza, Duncan D. Ruiz:
FReDD: Supporting Mining Strategies through a Flexible-Receptor Docking Database. BSB 2009: 143-146 - 2008
- [c7]Karina S. Machado, Evelyn K. Schroeder, Duncan D. Ruiz, Ana Wink, Osmar Norberto de Souza:
Extracting Information from Flexible Receptor-Flexible Ligand Docking Experiments. BSB 2008: 104-114 - 2007
- [c6]Karina S. Machado, Evelyn K. Schroeder, Duncan D. Ruiz, Osmar Norberto de Souza:
Automating Molecular Docking with Explicit Receptor Flexibility Using Scientific Workflows. BSB 2007: 1-11
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