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

• Автори: Sean P. Collins (Автор), Brandon Mailloux (Автор), Sunil Kulkarni (Автор), Matthew Gagné (Автор), Alexandra S. Long (Автор), Tara S. Barton-Maclaren (Автор)
• Формат: Книга
• Опубліковано: Frontiers Media S.A., 2024-01-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

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...