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)
Objetivos de Desarrollo Sostenible
ODS 12: Producción y consumo responsables(4)
ODS 3: Salud y bienestar(4)
ODS 9: Industria, innovación e infraestructura(2)
ODS 2: Hambre cero(1)
ODS 6: Agua limpia y saneamiento(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:scopusPredictive 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