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Comparative study to pbkp_redict toxic modes of action of phenols from molecular structures
ArticleAbstract: Quantitative structure-activity relationship models for the pbkp_rediction of mode of toxic action (Palabras claves:Atom-based quadratic indices, Machine learning technique, mode of toxic action, phenol derivative, quantitative structure-toxicity relationshipAutores:Brito-Sánchez Y., Garit J., González-Madariaga Y., Rodríguez-Borges J.E., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:googlescopusAtom based linear index descriptors in QSAR-machine learning classifiers for the pbkp_rediction of ubiquitin-proteasome pathway activity
ArticleAbstract: Abstract: This report showed the use of the atom-based linear index together with different classicPalabras claves:Atom-based linear indices, Machine learning, QSAR, ToMoCoMD-CARDD software, Ubiquitin-proteasome pathway inhibitorsAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., 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:scopusAnalysis of proteasome inhibition pbkp_rediction using atom-based quadratic indices enhanced by machine learning classification techniques
ArticleAbstract: In this work the use of 2D atom-based quadratic indices is shown in the pbkp_rediction of proteasomePalabras claves:Atom-based quadratic index, Classification and regression model, Machine learning, Proteasome inhibition, QSAR, ToMoCoMD-CARDD softwareAutores:Abad C., Garit J., Gerardo M. Casañola-Martin, Pérez-Giménez F., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusA comparative study of nonlinear machine learning for the "in silico" depiction of tyrosinase inhibitory activity from molecular structure
ArticleAbstract: In the preset report, for the first time, support vector machine (SVM), artificial neural network (APalabras claves:Atom-based quadratic index, Machine learning technique, Multiple comparison test, Tyrosinase inhibitorAutores:Abad C., Cardoso G.C., Chávez M.D.C., García M.M., Gerardo M. Casañola-Martin, Morell Pérez C., Thu H.L.T., Torrens F., Yovani Marrero-PonceFuentes:scopusA desirability-based multi objective approach for the virtual screening discovery of broad-spectrum anti-gastric cancer agents
ArticleAbstract: Gastric cancer is the third leading cause of cancer-related mortality worldwide and despite advancesPalabras claves:Autores:Aminael Sánchez-Rodríguez, Borges F., Eduardo Tejera, Maykel Cruz-Monteagudo, Natalia Dias Soeiro Cordeiro M., Pham-The H., Thu H.L.T., Yunierkis Perez-CastilloFuentes:googlescopusA rational workflow for sequential virtual screening of chemical libraries on searching for new tyrosinase inhibitors
ArticleAbstract: The tyrosinase is a bifunctional, copper-containing enzyme widely distributed in the phylogenetic trPalabras claves:Drug-likeness filtering, Molecular docking, QSAR modeling, Similarity searching, Tyrosinase inhibitor, Virtual ScreeningAutores:Abad C., Gerardo M. Casañola-Martin, Khan M.T.H., Rescigno A., Thu H.L.T., Yovani Marrero-PonceFuentes:scopusA simple method to pbkp_redict blood-brain barrier permeability of drug-like compounds using classification trees
ArticleAbstract: Background: To know the ability of a compound to penetrate the blood-brain barrier (BBB) is a challePalabras claves:blood-brain barrier, classification tree, molecular descriptor, Neuropharmaceuticals, Quantitative Structure-Activity Relationship, WEKAAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Thu H.L.T.Fuentes: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 pbkp_rediction of α-amylase andPalabras 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:scopusGeneralized molecular descriptors derived from event-based discrete derivative
ReviewAbstract: In the present study, a generalized approach for molecular structure characterization is introduced,Palabras claves:Atom-based derivative index, Discrete derivative, DIVATI, Event criterion, Fingerprint, Frequency matrix, PCa, QSAR/QSPR, ToMoCoMD-CARDDAutores:Cabrera R.M., César H. Zambrano, Fernando Javier Torres, Giménez F.P., López Y.M., Maykel Cruz-Monteagudo, Oscar Martínez Santiago, Stephen Jones Barigye, Thu H.L.T., Torrens F., Yaber-Goenag I., Yovani Marrero-PonceFuentes:googlescopus