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Comparative study to predict toxic modes of action of phenols from molecular structures
ArticleAbstract: Quantitative structure-activity relationship models for the prediction of mode of toxic action (MOA)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 prediction 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:scopusAtom-based 3D-chiral quadratic indices. Part 2: Prediction of the corticosteroid-binding globulin binding affinity of the 31 benchmark steroids data set
ArticleAbstract: A quantitative structure-activity relationship (QSAR) study to predict the relative affinities of thPalabras claves:3D-QSAR, Binding affinity of steroid, Non-stochastic and stochastic 3D-chiral quadratic indices, TOMOCOMD-CARDD methodAutores:Garit J., Torrens F., Yovani Marrero-PonceFuentes:googlescopusAtom-based 3D-chiral quadratic indices. Part 3: Prediction of the binding affinity of the stereoisomers offenoterol to the β <inf>2</inf> adrenergic receptor
ArticleAbstract: The non-stochastic and stochastic atom-based three dimensional (3D)-chiral quadratic indices are appPalabras claves:3D-QSAR, Binding affinity, Fenoterol stereoisomer, Non-stochastic and stochastic atom-based 3D-chiral quadratic indices, β -adrenoceptor 2Autores:Abad C., García-Domenech R., Garit J., Torrens F., Yovani Marrero-PonceFuentes:googlescopusAnalysis of proteasome inhibition prediction 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 prediction of proteasome inhPalabras 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:scopusDiscrete Fourier Transform-Based Multivariate Image Analysis: Application to Modeling of Aromatase Inhibitory Activity
ArticleAbstract: We recently generalized the formerly alignment-dependent multivariate image analysis applied to quanPalabras claves:aromatase inhibitory activity, discrete Fourier transform, Multivariate image analysis, QSARAutores:Ausina P., Freitas M.P., Garit J., Sola-Penna M., Stephen Jones Barigye, Zancan 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:scopusEvolutionary algorithm-based generation of optimum peptide sequences with dengue virus inhibitory activity
ArticleAbstract: Background: There is currently no effective dengue virus (DENV) therapeutic. We aim to develop a genPalabras claves:Dengue Virus, Genetic Algorithm, MM-GBSA, peptide-protein docking, PeptidesAutores:García-De La Vega J.M., Garit J., Stephen Jones Barigye, Yunierkis Perez-CastilloFuentes: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:googlescopusLinear indices of the 'macromolecular graph's nucleotides adjacency matrix' as a promising approach for bioinformatics studies. Part 1: Prediction of paromomycin's affinity constant with HIV-1 Ψ-RNA packaging region
ArticleAbstract: The design of novel anti-HIV compounds has now become a crucial area for scientists around the worldPalabras claves:Footprinting, HIV-1 Ψ-RNA packaging region, Nucleic acid linear indices, paromomycin, TOMOCOMD-CANAR approachAutores:Garit J., Nodarse D., Yovani Marrero-PonceFuentes:scopus