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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 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:scopusBond-based linear indices in QSAR: Computational discovery of novel anti-trichomonal compounds
ArticleAbstract: Trichomonas vaginalis (Tv) is the causative agent of the most common, non-viral, sexually transmittePalabras claves:Bond-based linear indices, In vitro cytostatic and cytocidal activities, LDA-assisted QSAR model, ToMoCoMD-CARDD software, Trichomonacidal, virtual screeningAutores:Arán V.J., Francisco Torrens, García-Domenech R., García-Trevijano J.A.E., Gómez-Barrio A., Grau-Ábalo R.d.C., Julián-Ortiz J.V., Meneses-Marcel A., Montero A., Nogal-Ruiz J.J., Pereira D.M., Rivera-Borroto O.M., Torrens F., Vogel C., Yovani Marrero-PonceFuentes:googlescopusDunn's index for cluster tendency assessment of pharmacological data sets
ArticleAbstract: Cluster tendency assessment is an important stage in cluster analysis. In this sense, a group of proPalabras claves:Classification accuracy, cluster analysis, Cluster tendency, Clusters overlap, Dunn's index, Pharmacological data sets, VAT techniquesAutores:García-De La Vega J.M., Grau-Ábalo R.d.C., Rabassa-Gutiérrez M., Rivera-Borroto O.M., Yovani Marrero-PonceFuentes:googlescopusComparison of combinatorial clustering methods on pharmacological data sets represented by machine learning-selected real molecular descriptors
ArticleAbstract: Cluster algorithms play an important role in diversity related tasks of modern chemoinformatics, witPalabras claves:Autores:García-De La Vega J.M., Grau-Ábalo R.d.C., Rivera-Borroto O.M., Yovani Marrero-PonceFuentes:googlescopusComparison of novelproximity models in Chemoinformatics
ArticleAbstract: This work comprises the computational implementation in the Java environment of 21 proximity modelsPalabras claves:Machine learning descriptor selection, Medicinal chemistry data set, Proximity model, Similarity searchingAutores:Del Corazón Grau Ábalo R., Díaz Y.H., García-De La Vega J.M., Rivera-Borroto O.M., Yovani Marrero-PonceFuentes:scopusExploring the QSAR’s predictive truthfulness of the novel N-tuple discrete derivative indices on benchmark datasets
ArticleAbstract: Graph derivative indices (GDIs) have recently been defined over N-atoms (N = 2, 3 and 4) simultaneouPalabras claves:CARDD suite, DIVATI module, feature selection, free and open source software, genetic algorithm, Friedman test for multiple comparisons, graph derivative indices, Keysfinder framework, Molecular descriptors, multiple linear regression, QSAR model, TOMOCOMD systemAutores:Hurtado E., Orozco-Ugarriza M.E., Oscar Martínez Santiago, Ramos Y., Rivera-Borroto O.M., Treto-Suarez M.A., Vergara-Murillo F., Vivas-Reyes R., Yoan Martínez López, Yovani Marrero-PonceFuentes:scopusNew antitrichomonal drug-like chemicals selected by bond (edge)-based TOMOCOMD-CARDD descriptors
ArticleAbstract: Bond-based quadratic indices, new TOMOCOMD-CARDD molecular descriptors, and linear discriminant analPalabras claves:Bond-based TOMOCOMD-CARDD quadratic indices, Cytostatic and cytocidal activity, LDA-Based QSAR Model, lead generation, Trichomonacidal, virtual screeningAutores:Arán V.J., Francisco Torrens, García-Trevijano J.A.E., Gómez-Barrio A., Grau-Ábalo R.d.C., Ibarra-Velarde F., Kouznetsov V.V., Machado-Tugores Y., Meneses-Marcel A., Montero A., Montero Pereira D., Nogal-Ruiz J.J., Ochoa Puentes C., Rivera-Borroto O.M., Romero Bohórquez A.R., Torrens F., Yovani Marrero-PonceFuentes:googlescopusNovel similarity measures for the effective and efficient retrieval of pharmacological datasets
ArticleAbstract: Similarity searching is an important facility in modern chemical information management systems to aPalabras claves:Machine learning descriptor selection, Medicinal chemistry datasets, Nearest neighbours, Similarity Measures, Similarity SearchAutores:Del Corazón Grau Ábalo R., Díaz Y.H., García-De La Vega J.M., Rivera-Borroto O.M., Yovani Marrero-PonceFuentes:googlescopus