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GA(M)E-QSAR: A novel, fully automatic genetic-algorithm-(meta)-ensembles approach for binary classification in ligand-based drug design
ArticleAbstract: Computer-aided drug design has become an important component of the drug discovery process. DespitePalabras claves:Autores:Froeyen M., Lazar C., Nowé A., Pérez M.A.C., Taminau J., Yunierkis Perez-CastilloFuentes:googlescopusHarmonization of QSAR Best Practices and Molecular Docking Provides an Efficient Virtual Screening Tool for Discovering New G-Quadruplex Ligands
ArticleAbstract: Telomeres and telomerase are key players in tumorogenesis. Among the various strategies proposed forPalabras claves:Autores:Borges F., Bourdoncle A., Castillo-González D., Cesar Paz-y-Miño, De Rache A., Eduardo Tejera, Garrigues T., Guédin A., Introcaso A., Mangiatordi G.F., Maykel Cruz-Monteagudo, Mergny J.L., Natalia Dias Soeiro Cordeiro M., Nicolotti O., Pallardó F., Pérez M.A.C., Pérez-Machado G.Fuentes:scopus