Predictive QSAR Models for the Toxicity of Disinfection Byproducts

Several hundred disinfection byproducts (DBPs) in drinking water have been identified, and are known to have potentially adverse health effects. There are toxicological data gaps for most DBPs, and the predictive method may provide an effective way to address this. The development of an in-silico mo...

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Detalles Bibliográficos
Autores principales: Qin, Litang, Zhang, Xin, Chen, Yuhan, Mo, Lingyun, Zeng, Honghu, Liang, Yanpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151816/
https://www.ncbi.nlm.nih.gov/pubmed/28991213
http://dx.doi.org/10.3390/molecules22101671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151816/
https://www.ncbi.nlm.nih.gov/pubmed/28991213
http://dx.doi.org/10.3390/molecules22101671

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