The Good, The Bad, and The Perplexing: Structural Alerts and Read-Across for Predicting Skin Sensitization Using Human Data

[Image: see text] In our earlier work (Golden et al., 2021), we showed 70–80% accuracies for several skin sensitization computational tools using human data. Here, we expanded the data set using the NICEATM human skin sensitization database to create a final data set of 1355 discrete chemicals (larg...

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Detalles Bibliográficos
Autores principales: Golden, Emily, Ukaegbu, Daniel C., Ranslow, Peter, Brown, Robert H., Hartung, Thomas, Maertens, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189792/
https://www.ncbi.nlm.nih.gov/pubmed/37126467
http://dx.doi.org/10.1021/acs.chemrestox.2c00383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189792/
https://www.ncbi.nlm.nih.gov/pubmed/37126467
http://dx.doi.org/10.1021/acs.chemrestox.2c00383

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