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SAR and QSAR in Environmental Research|October 13, 2017
Machine learning-based models to predict modes of toxic action of phenols to Tetrahymena pyriformisJ A Castillo-Garit, G M Casañola-Martin, S J Barigye, et al.SAR and QSAR in Environmental Research|February 21, 2024
Ligand and structure-based discovery of phosphorus-containing compounds as potential metalloproteinase inhibitorsY Cañizares-Carmenate, Y Perera-Sardiña, Y Marrero-Ponce, et al.SAR and QSAR in Environmental Research|January 18, 2021
Computational identification of chemical compounds with potential anti-Chagas activity using a classification treeJ A Castillo-Garit, S J Barigye, H Pham-The, et al.SAR and QSAR in Environmental Research|October 17, 2012
Event-based criteria in GT-STAF information indices: theory, exploratory diversity analysis and QSPR applicationsS J Barigye, Y Marrero-Ponce, Y Martínez López, et al.SAR and QSAR in Environmental Research|February 27, 2013
Comparative study to predict toxic modes of action of phenols from molecular structuresY Brito-Sánchez, J A Castillo-Garit, H Le-Thi-Thu, et al.SAR and QSAR in Environmental Research|November 17, 2015
QuBiLs-MAS method in early drug discovery and rational drug identification of antifungal agentsR Medina Marrero, Y Marrero-Ponce, S J Barigye, et al.SAR and QSAR in Environmental Research|January 20, 2022
Ligand-based discovery of new potential acetylcholinesterase inhibitors for Alzheimer's disease treatmentY Cañizares-Carmenate, N-H Nam, R Díaz-Amador, et al.Pageof 2