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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:googlescopusA physics-based scoring function for protein structural decoys: Dynamic testing on targets of CASP-ROLL
ArticleAbstract: Most successful structure prediction strategies use knowledge-based functions for global optimizatioPalabras claves:Autores:Amilkar Puris, Bello R.R., García Y., Green J.R., Ruiz-Blanco Y.B., Sotomayor-Torres C.M., Yovani Marrero-PonceFuentes:scopusA two QSAR way for antidiabetic agents targeting using α-amylase and α-glucosidase inhibitors: Model parameters settings in artificial intelligence techniques
ArticleAbstract: This work showed the use of 0-2D Dragon molecular descriptors in the prediction of α-amylase and α-gPalabras claves:classification model, dragon descriptor, Machine learning, QSAR., α-amylase, α-GlucosidaseAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Hai P.T., Karel Diéguez-Santana, Rivera-Borroto O.M., Thu H.L.T.Fuentes:scopusBeyond model interpretability using LDA and decision trees for α-amylase and α-glucosidase inhibitor classification studies
ArticleAbstract: In this report are used two data sets involving the main antidiabetic enzyme targets α-amylase and αPalabras claves:antidiabetic agents, Decision Trees, linear discriminant analysis, QSARAutores:Amilkar Puris, Gerardo M. Casañola-Martin, Karel Diéguez-Santana, Pham-The H., Rasulev B., Rivera-Borroto O.M., Thu H.L.T.Fuentes:scopusQSAR models for tyrosinase inhibitory activity description applying modern statistical classification techniques: A comparative study
ArticleAbstract: Cluster analysis (CA), Linear and Quadratic Discriminant Analysis (L(Q)DA), Binary Logistic RegressiPalabras claves:Atom-based quadratic indices, Modern statistical methods, Multiple Comparison Procedures, ROC curve, ToMoCoMD-CARDD software, Tyrosinase inhibitorAutores:Abad C., Amilkar Puris, Cardoso G.C., Gerardo M. Casañola-Martin, Rescigno A., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusPrediction of acute toxicity of pesticides for Americamysis bahia using linear and nonlinear QSTR modelling approaches
ArticleAbstract: Globally, pesticides are toxic substances with wide applications. However, the widespread use of pesPalabras claves:Aquatic toxicity, Machine learning, multiple linear regression, Quantitative Structure–Toxicity relationship, random forestAutores:Amilkar Puris, González‐díaz H., Karel Diéguez-Santana, Nachimba-Mayanchi M.M., Roldán Torres GutiérrezFuentes:googlescopus