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Novel machine learning models to predict endocrine disruption activity for high-throughput chemical screening
An area of ongoing concern in toxicology and chemical risk assessment is endocrine disrupting chemicals (EDCs). However, thousands of legacy chemicals lack the toxicity testing required to assess their respective EDC potential, and this is where computational toxicology can play a crucial role. The...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530987/ https://www.ncbi.nlm.nih.gov/pubmed/36204696 http://dx.doi.org/10.3389/ftox.2022.981928 |