Mostrando 5 resultados de: 5
Filtros aplicados
Publisher
Chemometrics and Cheminformatics in Aquatic Toxicology(1)
Chemosphere(1)
Environmental Toxicology and Pharmacology(1)
Molecular Diversity(1)
SAR and QSAR in Environmental Research(1)
Área temáticas
Bioquímica(3)
Farmacología y terapéutica(1)
Fisiología humana(1)
Física aplicada(1)
Programación informática, programas, datos, seguridad(1)
Área de conocimiento
Bioquímica(3)
Toxicología(2)
Aprendizaje automático(1)
Nutrición(1)
Química ambiental(1)
Origen
scopus(5)
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: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: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:scopusPbkp_redictive modeling of aryl hydrocarbon receptor (AhR) agonism
ArticleAbstract: The aryl hydrocarbon receptor (AhR) plays a key role in the regulation of gene expression in metabolPalabras claves:Agonistic activity, Aryl hydrocarbon receptor, Benzothiazoles, Computational modeling, Coumarins, flavonoids, Polyphenols, QSAR, TriterpenesAutores:Giner R.M., Gozalbes R., Jorge E.G., Stephen Jones Barigye, Veitía Iyarreta M.Fuentes:scopus