A Comparative Analysis of Public Ligand Databases Based on Molecular Descriptors. - Ana T. Winck; Christian Vahl Quevedo; Karina S. Machado; Osmar Norberto de Souza; Duncan D. Ruiz (BSB, 2012)

A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor models. - Christian Vahl Quevedo; Renata De Paris; Duncan D. Ruiz; Osmar Norberto de Souza (Expert Syst. Appl., 2014)

Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm. - Rodrigo C. Barros; Christian Vahl Quevedo; Renata De Paris; Márcio P. Basgalupp (CEC, 2015)

Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments. - Renata De Paris; Christian Vahl Quevedo; Duncan Dubugras A. Ruiz; Osmar Norberto de Souza; Rodrigo C. Barros (Comput. Intell. Neurosci., 2015)

Medoid-based data clustering with estimation of distribution algorithms. - Henry E. L. Cagnini; Rodrigo C. Barros; Christian Vahl Quevedo; Márcio P. Basgalupp (SAC, 2016)

Triagem virtual em banco de dados de ligantes considerando propriedades físico-químicas de um modelo de receptor totalmente flexível. - Christian Vahl Quevedo (2016)

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; Furia Gargano; Osmar Norberto de Souza (BMC Bioinform., 2018)