Application of Machine Learning Methods to Predict the Air Half-Lives of Persistent Organic Pollutants

Persistent organic pollutants (POPs) are ubiquitous and bioaccumulative, posing potential and long-term threats to human health and the ecological environment. Quantitative structure–activity relationship (QSAR) studies play a guiding role in analyzing the toxicity and environmental fate of differen...

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Detalles Bibliográficos
Autores principales: Zhang, Ying, Xie, Liangxu, Zhang, Dawei, Xu, Xiaojun, Xu, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673120/
https://www.ncbi.nlm.nih.gov/pubmed/38005179
http://dx.doi.org/10.3390/molecules28227457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673120/
https://www.ncbi.nlm.nih.gov/pubmed/38005179
http://dx.doi.org/10.3390/molecules28227457

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