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Development and application of consensus in silico models for advancing high-throughput toxicological predictions

Computational toxicology models have been successfully implemented to prioritize and screen chemicals. There are numerous in silico (quantitative) structure–activity relationship ([Q]SAR) models for the prediction of a range of human-relevant toxicological endpoints, but for a given endpoint and che...

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Principais autores: Sean P. Collins, Brandon Mailloux, Sunil Kulkarni, Matthew Gagné, Alexandra S. Long, Tara S. Barton-Maclaren
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2024-01-01
Colecção:Frontiers in Pharmacology
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Acesso em linha:https://www.frontiersin.org/articles/10.3389/fphar.2024.1307905/full
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