Data-Driven Quantitative Structure–Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure

[Image: see text] Traditional methodologies for assessing chemical toxicity are expensive and time-consuming. Computational modeling approaches have emerged as low-cost alternatives, especially those used to develop quantitative structure–activity relationship (QSAR) models. However, conventional QS...

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Detalles Bibliográficos
Autores principales: Chung, Elena, Russo, Daniel P., Ciallella, Heather L., Wang, Yu-Tang, Wu, Min, Aleksunes, Lauren M., Zhu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134506/
https://www.ncbi.nlm.nih.gov/pubmed/37040559
http://dx.doi.org/10.1021/acs.est.3c00648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134506/
https://www.ncbi.nlm.nih.gov/pubmed/37040559
http://dx.doi.org/10.1021/acs.est.3c00648

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