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Comparative study to pbkp_redict toxic modes of action of phenols from molecular structures
ArticleAbstract: Quantitative structure-activity relationship models for the pbkp_rediction of mode of toxic action (Palabras claves:Atom-based quadratic indices, Machine learning technique, mode of toxic action, phenol derivative, quantitative structure-toxicity relationshipAutores:Brito-Sánchez Y., Garit J., González-Madariaga Y., Rodríguez-Borges J.E., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:googlescopusComputational identification of chemical compounds with potential anti-Chagas activity using a classification tree
ArticleAbstract: Chagas disease is endemic to 21 Latin American countries and is a great public health problem in thaPalabras claves:Anti-chagasic action, Chagas disease, classification tree, TRYPANOSOMA CRUZI, Virtual ScreeningAutores:Garit J., Pérez-Doñate V., Pérez-Giménez F., Pham-The H., Stephen Jones Barigye, Torrens F.Fuentes:scopusEvent-based criteria in GT-STAF information indices: Theory, exploratory diversity analysis and QSPR applications
ArticleAbstract: Versatile event-based approaches for the definition of novel information theory-based indices (IFIs)Palabras claves:CLÚSTER ANALYSIS, conditional and joint entropy, Event, GT-STAF, magnitude criterion, QSPR, Shannon's, mutual, ToMoCoMD-CARDDAutores:Domenech R.G., Gálvez J., Santiago O.M., Stephen Jones Barigye, Torrens F., Yoan Martínez López, Yovani Marrero-PonceFuentes:scopusMachine learning-based models to pbkp_redict modes of toxic action of phenols to Tetrahymena pyriformis
ArticleAbstract: The phenols are structurally heterogeneous pollutants and they present a variety of modes of toxic aPalabras claves:Machine learning technique, mode of toxic action, molecular descriptor, phenol derivative, Pollutant, QSARAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Torreblanca A., Torrens F.Fuentes:scopusQuBiLs-MAS method in early drug discovery and rational drug identification of antifungal agents
ArticleAbstract: The QuBiLs-MAS approach is used for the in silico modelling of the antifungal activity of organic moPalabras claves:Atom-based quadratic indices, linear discriminant analysis, QSAR model, QuBiLs-MAS software, virtual screening, antifungal agentAutores:Acevedo-Barrios R., Echeverría-Díaz Y., García-Bernal M., Gerardo M. Casañola-Martin, Medina-Marrero R., Pérez-Giménez F., Stephen Jones Barigye, Torrens F., Yovani Marrero-PonceFuentes:scopus