Francisco Torrens

ICMOL Universidad de Valencia 
"Francisco Torrens"
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Cañizares-Carmenate Y, Mena-Ulecia K, MacLeod Carey D, et al. (2021) Machine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases. Molecular Diversity
Cañizares-Carmenate Y, Delgado LEC, Torrens F, et al. (2020) Thorough evaluation of OECD principles in modelling of 1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine derivatives using QSARINS. Sar and Qsar in Environmental Research. 31: 741-759
Cañizares-Carmenate Y, Cárdenas AA, Llerena VR, et al. (2020) Computational approach to the discovery of potential neprilysin inhibitors compounds for cardiovascular diseases treatment Medicinal Chemistry Research. 29: 897-909
Castillo-Garit JA, Flores-Balmaseda N, Álvarez O, et al. (2018) Computational identification of chemical compounds with potential activity against Leishmania amazonensis using nonlinear machine learning techniques. Current Topics in Medicinal Chemistry
Castillo-Garit JA, Casañola-Martin GM, Barigye SJ, et al. (2017) Machine learning-based models to predict modes of toxic action of phenols to Tetrahymena pyriformis. Sar and Qsar in Environmental Research. 28: 735-747
Martínez-López Y, Caballero Y, Barigye SJ, et al. (2017) State-of-Art Review and Report of New Tool for Drug Discovery. Current Topics in Medicinal Chemistry
Cañizares-Carmenate Y, Hernandez-Morfa M, Torrens F, et al. (2017) Larvicidal activity prediction against mosquito using computational tools. Journal of Vector Borne Diseases. 54: 164-171
Marrero-Ponce Y, Castañeda YG, Vivas-Reyes R, et al. (2017) Dry selection and wet evaluation for the rational discovery of new anthelmintics Molecular Physics. 115: 2300-2313
Martínez-Santiago O, Cabrera RM, Marrero-Ponce Y, et al. (2016) Generalized Molecular Descriptors Derived From Event-Based Discrete Derivative. Current Pharmaceutical Design. 22: 5095-5113
Castillo-Garit JA, Abad C, Casañola-Martin GM, et al. (2016) Prediction of Aquatic Toxicity of Benzene Derivatives to Tetrahymena pyriformis According to OECD Principles. Current Pharmaceutical Design. 22: 5085-5094
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