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Atom 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:scopusBond-based 2D Quadratic fingerprints in QSAR studies: Virtual and in vitro tyrosinase inhibitory activity elucidation
ArticleAbstract: In this report, we show the results of quantitative structure-activity relationship (QSAR) studies oPalabras claves:Bond-based quadratic indices, LDA-Based QSAR Model, lignan, ToMoCoMD-CARDD software, Tyrosinase inhibitorAutores:Abad C., Gerardo M. Casañola-Martin, Khan M.T.H., Khan S., Pérez-Jiménez F., Rescigno A., Torrens F., Yovani Marrero-PonceFuentes: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 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 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 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:scopusCarbon nanotubes’ effect on mitochondrial oxygen flux dynamics: Polarography experimental study and machine learning models using star graph trace invariants of raman spectra
ArticleAbstract: This study presents the impact of carbon nanotubes (CNTs) on mitochondrial oxygen mass flux (Jm) undPalabras claves:carbon nanotubes, Cytotoxicity, Graph Theory, Mitochondria oxygen mass flux, Raman spectroscopy, Spectral momentsAutores:Barreiro Sorrivas J.M., Gerardo M. Casañola-Martin, González-Durruthy M., González‐díaz H., Maojo V., Monserrat J.M., Munteanu C.R., Paraíso-Medina S., Rasulev B., Sierra A.P.Fuentes:scopusExploring proteasome inhibition using atomic weighted vector indices and machine learning approaches
ArticleAbstract: Ubiquitin–proteasome system (UPS) is a highly regulated mechanism of intracellular protein degradatiPalabras claves:AWV, deep learning, Descriptor, GA, ML, UpsAutores:Garit J., Gerardo M. Casañola-Martin, Oscar Martínez Santiago, Rasulev B., Rodríguez-González A.Y., Stephen Jones Barigye, Yoan Martínez LópezFuentes:scopusDragon method for finding novel tyrosinase inhibitors: Biosilico identification and experimental in vitro assays
ArticleAbstract: QSAR (quantitative structure-activity relationship) studies of tyrosinase inhibitors employing DragoPalabras claves:Bipiperidine series, dragon descriptor, LDA-Based QSAR Model, Tyrosinase inhibitor, Virtual ScreeningAutores:Ather A., Gerardo M. Casañola-Martin, Khan K., Khan M.T.H., Rotondo R., Torrens F., Yovani Marrero-PonceFuentes:scopus