Christian Vahl Quevedo

Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments

Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz et al. · Computational Intelligence and Neuroscience · 2015 · 66 citations · Full text

Rational Drug Discovery, Engineering, Entire Trajectories +14

An Effective Approach for Clustering InhA Molecular Dynamics Trajectory Using Substrate-Binding Cavity Features

Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz et al. · PLoS ONE · 2015 · 34 citations · Full text

Engineering, Molecular Biology, Computational Chemistry +19

A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models

Christian Vahl Quevedo, Renata De Paris, Duncan D. Ruiz et al. · Expert Systems with Applications · 2014 · 17 citations

Strategic Solution, Fully-flexible Receptor Models, Engineering +11

A selective method for optimizing ensemble docking-based experiments on an InhA Fully-Flexible receptor model

Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz et al. · BMC Bioinformatics · 2018 · 11 citations · Full text

A Deep Learning Approach to Classify Aspect-Level Sentiment using Small Datasets

João Paulo Aires, Carlos Eduardo de Araújo Padilha, Christian Vahl Quevedo et al. · 2018 · 10 citations