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A Fuzzy System Classification Approach for QSAR Modeling of αAmylase and α-Glucosidase Inhibitors
ArticleAbstract: Introduction: This report proposes the application of a new Machine Learning algorithm called FuzzyPalabras claves:Anti-diabetic agents, FURIA-C, induction rule, Lda, machine-learning techniques, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, González‐díaz H., Karel Diéguez-Santana, Rasulev B., Rivera-Borroto O.M.Fuentes:googlescopusDevelopment of Activity Rules and Chemical Fragment Design for In Silico Discovery of AChE and BACE1 Dual Inhibitors against Alzheimer’s Disease
ArticleAbstract: Multi-target drug development has become an attractive strategy in the discovery of drugs to treat oPalabras claves:AChE, Alzheimer’s disease, BACE1, dual-target inhibitor, fragment design, QSARAutores:Baecker D., Bao L.Q., Gerardo M. Casañola-Martin, Huong T.T.L., Mai Dung D.T., Nam N.H., Nguyen P.L., Pham-The H., Phuong Dung P.T., Phuong Nhung N., Rasulev B., Thi Thuan N.Fuentes:scopusIn silico assessment of ADME properties: Advances in Caco-2 cell monolayer permeability modeling
ReviewAbstract: One of the main goals of in silico Caco-2 cell permeability models is to identify those drug substanPalabras claves:Adme, Biopharmaceutics classification system (BCS), Caco-2 cell permeability, Human intestinal absorption, In vitro-in vivo correlation (IVIVC), QSAR/QSPRAutores:Garit J., Gerardo M. Casañola-Martin, Nam N.H., Pérez M.A.C., Pham-The H., Rasulev B., Thu H.L.T.Fuentes:scopusMachine Learning Study of Metabolic Networks vs ChEMBL Data of Antibacterial Compounds
ArticleAbstract: Antibacterial drugs (AD) change the metabolic status of bacteria, contributing to bacterial death. HPalabras claves:antibacterial compounds, CHEMBL, complex networks, Information Fusion, Machine learning, multidrug-resistant, perturbation theoryAutores:Gerardo M. Casañola-Martin, González‐díaz H., Green J.R., Karel Diéguez-Santana, Rasulev B., Roldán Torres GutiérrezFuentes:googlescopus