Christian Vahl Quevedo

Duncan Dubugras Alcoba Ruiz	grad student	2011-2016	Pontifícia Universidade Católica do Rio Grande do Sul, PUCRS
(Triagem virtual em banco de dados de ligantes considerando propriedades físico-químicas de um modelo de receptor totalmente flexível - Dr. Advisor)

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De Paris R, Quevedo CV, Ruiz DD, et al. (2015) An Effective Approach for Clustering InhA Molecular Dynamics Trajectory Using Substrate-Binding Cavity Features. Plos One. 10: e0133172
De Paris R, Quevedo CV, Ruiz DD, et al. (2015) Clustering molecular dynamics trajectories for optimizing docking experiments. Computational Intelligence and Neuroscience. 2015: 916240
Barros RC, Quevedo CV, De Paris R, et al. (2015) Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm 2015 Ieee Congress On Evolutionary Computation, Cec 2015 - Proceedings. 2058-2065
Quevedo CV, Paris RD, Ruiz DD, et al. (2014) A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models Expert Systems With Applications. 41: 7608-7620
Winck AT, Quevedo CV, Machado KS, et al. (2012) A comparative analysis of public ligand databases based on molecular descriptors Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7409: 156-167