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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Bibliographic Details

Published in:	Frontiers in Pharmacology
Main Authors:	Sean P. Collins, Brandon Mailloux, Sunil Kulkarni, Matthew Gagné, Alexandra S. Long, Tara S. Barton-Maclaren
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-01-01
Subjects:	estrogen receptor androgen receptor endocrine disruption genotoxicity (Q)SAR in silico
Online Access:	https://www.frontiersin.org/articles/10.3389/fphar.2024.1307905/full