The following publications are possibly variants of this publication:
- An effective method to optimize docking-based virtual screening in a clustered fully-flexible receptor model deployed on cloud platformsRenata De Paris. PhD thesis, Pontifícia Universidade Católica do Rio Grande do Sul, Brazil, 2016. [doi]
- A Cloud-Based Workflow Approach for Optimizing Molecular Docking Simulations of Fully-Flexible Receptor Models and Multiple LigandsRenata De Paris, Duncan Dubugras A. Ruiz, Osmar Norberto de Souza. cloudcom 2015: 495-498 [doi]
- P-SaMI: a data-flow pattern to perform massively-parallel molecular docking experiments using a fully-flexible receptor modelPatricia Hübler, Duncan Dubugras A. Ruiz, João Eduardo Ferreira, Osmar Norberto de Souza. SAC 2015: 54-57 [doi]
- A strategic solution to optimize molecular docking simulations using Fully-Flexible Receptor modelsChristian Vahl Quevedo, Renata De Paris, Duncan D. Ruiz, Osmar Norberto de Souza. eswa, 41(16):7608-7620, 2014. [doi]
- A Conceptual Many Tasks Computing Architecture to Execute Molecular Docking Simulations of a Fully-Flexible Receptor ModelRenata De Paris, Fábio A. Frantz, Osmar Norberto de Souza, Duncan D. Ruiz. wob 2011: 75-78 [doi]