Gozalbes R.
41
Coauthors
8
Documentos
Volumen de publicaciones por año
Cargando gráfico
| Año de publicación | Num. Publicaciones |
|---|---|
| 2020 | 3 |
| 2021 | 4 |
| 2022 | 1 |
Publicaciones por áreas de conocimiento
Cargando gráfico
| Área de conocimiento | Num. Publicaciones |
|---|---|
| Bioquímica | 8 |
| Toxicología | 2 |
| Software | 2 |
| Química ambiental | 1 |
| Nutrición | 1 |
| Inmunología | 1 |
| Inflamación | 1 |
| Descubrimiento de fármacos | 1 |
| Aprendizaje automático | 1 |
Publicaciones por áreas temáticas
Cargando gráfico
| Área temática | Num. Publicaciones |
|---|---|
| Bioquímica | 3 |
| Farmacología y terapéutica | 3 |
| Fisiología humana | 2 |
| Química inorgánica | 1 |
| Salud y seguridad personal | 1 |
| Química analítica | 1 |
| Programación informática, programas, datos, seguridad | 1 |
| Ciencias de la computación | 1 |
| Química física | 1 |
| Física aplicada | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 8 |
| Google Scholar | 0 |
| RRAAE | 0 |
Cargando gráfico
Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Stephen Jones Barigye | 8 |
| Jorge E.G. | 4 |
| Giner R.M. | 3 |
| Carpio L.E. | 2 |
| Serrano-Candelas E. | 2 |
| Veitía Iyarreta M. | 2 |
| Connolly L. | 1 |
| Amber M. | 1 |
| Sanz Y. | 1 |
| Scippo M.L. | 1 |
Cargando gráfico
Top Keywords
Cargando gráfico
Publicaciones del autor
Machine 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:scopusComputational 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:scopusPeptiDesCalculator: Software for computation of peptide descriptors. Definition, implementation and case studies for 9 bioactivity endpoints
ArticleAbstract: We present a novel Java-based program denominated PeptiDesCalculator for computing peptide descriptoPalabras claves:Antimicrobial, Machine learning, peptide, PeptiDesCalculatorAutores:Gómez-Ganau S., Gozalbes R., Serrano-Candelas E., 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: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