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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: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 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: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:scopusMachine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases
ArticleAbstract: Abstract: With the advancement of combinatorial chemistry and big data, drug repositioning has boomePalabras claves:Angiotensin-converting enzyme, Artificial Intelligence, docking, Machine learning, Neutral endopeptidase, Thermolysin, Virtual ScreeningAutores:Cañizares-Carmenate Y., Garit J., Hernández-Rodríguez E.W., MacLeod Carey D., Mena-Ulecia K., Perera-Sardiña Y., Torrens F., Yovani Marrero-PonceFuentes:googlescopusMachine learning-based models to pbkp_redict modes of toxic action of phenols to Tetrahymena pyriformis
ArticleAbstract: The phenols are structurally heterogeneous pollutants and they present a variety of modes of toxic aPalabras claves:Machine learning technique, mode of toxic action, molecular descriptor, phenol derivative, Pollutant, QSARAutores:Garit J., Gerardo M. Casañola-Martin, Pham-The H., Stephen Jones Barigye, Torreblanca A., Torrens F.Fuentes:scopusPbkp_rediction of ADME properties, Part 1: Classification models to pbkp_redict Caco-2 cell permeability using atom-based bilinear indices
ArticleAbstract: The pbkp_rediction of the permeability through cultured Caco-2 cells (an often-used in vitro model fPalabras claves:'In silico' modelling, Atom-based bilinear indices, Caco-2 cell, Computational ADME, Human intestinal absorption, Virtual ScreeningAutores:Abad C., Cañizares-Carmenate Y., Garit J., Torrens F., Yovani Marrero-PonceFuentes:googlescopus