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scopus(17)
Computational strategies for the discovery of biological functions of health foods, nutraceuticals and cosmeceuticals: a review
ArticleAbstract: Scientific and consumer interest in healthy foods (also known as functional foods), nutraceuticals aPalabras claves:Cosmeceuticals, docking, Health foods, Machine learning, molecular dynamics, Nutraceuticals, QSARAutores:Carpio L.E., Gozalbes R., Sanz Y., Stephen Jones BarigyeFuentes:scopusAssessing the chemical-induced estrogenicity using in silico and in vitro methods
ArticleAbstract: Multiple substances are considered endocrine disrupting chemicals (EDCs). However, there is a signifPalabras claves:Endocrine disruptor, Estrogen receptor, Pbkp_redictive toxicology, Persistent organic pollutant, QSAR, Reporter gene assayAutores:Amber M., Connolly L., Gozalbes R., Jorge E.G., Stephen Jones BarigyeFuentes:scopusDrug repositioning for novel antitrichomonas from known antiprotozoan drugs using hierarchical screening
ArticleAbstract: Aim: Metronidazole is the most widely used drug in trichomoniasis therapy. However, the emergence ofPalabras claves:antitrichomonas, QSAR, QuBiLS-MAS, ToMoCoMD-CARDD, Trichomonas vaginalisAutores:Arán-Redó V.J., César R. García-Jacas, Enrique Terán, García-Trevijano J.A.E., Gómez-Barrio A., Ibáñez-Escribano A., Machado-Tugores Y., Meneses-Marcel A., Nogal-Ruiz J.J., Stephen Jones Barigye, Yovani Marrero-PonceFuentes:scopusDevelopment of an in silico model of DPPH free radical scavenging capacity: Prediction of antioxidant activity of coumarin type compounds
ArticleAbstract: A quantitative structure-activity relationship (QSAR) study of the 2,2-diphenyl-l-picrylhydrazyl (DPPalabras claves:antioxidant, artificial neural networks, coumarin, Dpph, Free radical scavenger, MLP, QSARAutores:Jorge E.G., Rayar A.M., Rodríguez M.E.J., Stephen Jones Barigye, Veítia M.S.I.Fuentes: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 MIA-QSARs' for antimalarial quinolon-4(1H)-imines
ArticleAbstract: A series of quinolon-4(1H)-imines have been recently discovered as antimalarials, targeting both thePalabras claves:MALARIA, multiple linear regression, Multivariate image analysis, PLS-DA, QSAR, Quinolon-4(1H)-iminesAutores:Duarte M.H., Freitas M.P., Stephen Jones BarigyeFuentes:scopusIn silico antibacterial activity modeling based on the TOMOCOMD-CARDD approach
ArticleAbstract: In the recent times, the race to cope with the increasing multidrug resistance of pathogenic bacteriPalabras claves:Antibacterial activity, Atom-based bilinear index, linear discriminant analysis, QSAR, ToMoCoMD-CARDD software, Virtual ScreeningAutores:Acevedo-Barrios R., Arán V.J., García-Bernal M., García-De La Vega J.M., García-Domenech R., Garit J., Medina-Marrero R., Pérez-Giménez F., Stephen Jones Barigye, Torrens F., Yovani Marrero-PonceFuentes:scopusElucidating the aryl hydrocarbon receptor antagonism from a chemical-structural perspective
ArticleAbstract: The aryl hydrocarbon receptor (AhR) plays an important role in several biological processes such asPalabras claves:AhR antagonist, CALUX, linear discriminant analysis, POP, QSAR, toxicophoreAutores:Doan T.Q., Giner R.M., Gozalbes R., Jorge E.G., Muller M., Scippo M.L., Stephen Jones BarigyeFuentes:scopusQuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations
ArticleAbstract: Background: In previous reports, Marrero-Ponce et al. proposed algebraic formalisms for characteriziPalabras claves:Atom/bond-based molecular descriptor, Bilinear and quadratic indices, Double stochastic, free and open source software, Linear, Mutual probability matrices, Non-stochastic, QSAR, QuBiLS-MAS, Simple stochastic, ToMoCoMD-CARDDAutores:César R. García-Jacas, Martinez-Mayorga K., Morell Pérez C., Pérez-Giménez F., Pham-The H., Stephen Jones Barigye, Valdés-Martiní J.R., Vaz D‘Almeida Y.S., Yovani Marrero-PonceFuentes:scopusMachine Learning Approaches in Computational Toxicology Studies
Book PartAbstract: In the present world, the use of computational toxicity assessment techniques is highly encouraged aPalabras claves:classification, Clustering, computational toxicity, Decision Trees, deep learning, Dimensionality reduction, hierarchical clustering, K-Means, K-nearest neighbor, linear discriminant analysis, linear regression, logistic regression, Machine learning, Naïve Bayes, neural network, Principal Component Analysis, QSAR, random forest, regression, semi-supervised, Supervised, SUPPORT VECTOR MACHINES, unsupervisedAutores:Ambure P., Gozalbes R., Stephen Jones BarigyeFuentes:scopus