Computational Approaches for the Prediction of Environmental Transformation Products: Chlorination of Steroidal Enones

[Image: see text] There is growing interest in the fate and effects of transformation products generated from emerging pollutant classes, and new tools that help predict the products most likely to form will aid in risk assessment. Here, using a family of structurally related steroids (enones, dieno...

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Detalles Bibliográficos
Autores principales: Knutson, Christopher J., Pflug, Nicholas C., Yeung, Wyanna, Grobstein, Matthew, Patterson, Eric V., Cwiertny, David M., Gloer, James B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567416/
https://www.ncbi.nlm.nih.gov/pubmed/34637294
http://dx.doi.org/10.1021/acs.est.1c04659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567416/
https://www.ncbi.nlm.nih.gov/pubmed/34637294
http://dx.doi.org/10.1021/acs.est.1c04659

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