In Silico Prediction of Organ Level Toxicity: Linking Chemistry to Adverse Effects

In silico methods to predict toxicity include the use of (Quantitative) Structure-Activity Relationships ((Q)SARs) as well as grouping (category formation) allowing for read-across. A challenging area for in silico modelling is the prediction of chronic toxicity and the No Observed (Adverse) Effect...

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Detalles Bibliográficos
Autores principales: Cronin, Mark T.D., Enoch, Steven J., Mellor, Claire L., Przybylak, Katarzyna R., Richarz, Andrea-Nicole, Madden, Judith C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Toxicology 2017
Materias:
Invited Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5523554/
https://www.ncbi.nlm.nih.gov/pubmed/28744348
http://dx.doi.org/10.5487/TR.2017.33.3.173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5523554/
https://www.ncbi.nlm.nih.gov/pubmed/28744348
http://dx.doi.org/10.5487/TR.2017.33.3.173

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