Cargando…
A continuous in silico learning strategy to identify safety liabilities in compounds used in the leather and textile industry
There is a widely recognized need to reduce human activity's impact on the environment. Many industries of the leather and textile sector (LTI), being aware of producing a significant amount of residues (Keßler et al. 2021; Liu et al. 2021), are adopting measures to reduce the impact of their p...
Autores principales: | March-Vila, Eric, Ferretti, Giacomo, Terricabras, Emma, Ardao, Inés, Brea, José Manuel, Varela, María José, Arana, Álvaro, Rubiolo, Juan Andrés, Sanz, Ferran, Loza, María Isabel, Sánchez, Laura, Alonso, Héctor, Pastor, Manuel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025185/ https://www.ncbi.nlm.nih.gov/pubmed/36781432 http://dx.doi.org/10.1007/s00204-023-03459-7 |
Ejemplares similares
-
Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models
por: Kopańska, Karolina, et al.
Publicado: (2023) -
Application of toxicology in silico methods for prediction of acute toxicity (LD(50)) for Novichoks
por: Noga, Maciej, et al.
Publicado: (2023) -
Migration of styrene oligomers from food contact materials: in silico prediction of possible genotoxicity
por: Beneventi, Elisa, et al.
Publicado: (2022) -
Predicting the in vivo developmental toxicity of benzo[a]pyrene (BaP) in rats by an in vitro–in silico approach
por: Wang, Danlei, et al.
Publicado: (2021) -
In silico analysis decodes transthyretin (TTR) binding and thyroid disrupting effects of per- and polyfluoroalkyl substances (PFAS)
por: Dharpure, Rupal, et al.
Publicado: (2022)