This commentary advocates for the inclusion of in silico acute oral toxicity (AOT) models within the classification criteria of the Globally Harmonized System (GHS) and Dangerous Goods (DG) Model Regulations. AOT data, traditionally derived from animal studies, are central to hazard classification and regulatory compli...
Matthew Schmitz, J. Bercu, Jessica C. Graham et al.· Regulatory toxicology and ph...· 0 citations
Acute oral toxicity (AOT) testing is widely used for hazard identification in chemical safety assessment, but traditional animal methods are still implemented despite their scientific limitations and ethical implications. Despite the availability of non-animal methods, regulatory uptake has been inconsistent, also due...
G. Pallocca, P. Bishop, P. Browne et al.· Regulatory toxicology and ph...· 0 citations
A transformer-based molecular modeling framework for target-specific potency prediction, trained on curated BindingDB bioactivity data across Alzheimer‘s, diabetes, and cancer targets to deliver accurate pIC50 regression and binary activity classification.
Mohammad Akbari, K. Mansouri, Shaban Ahmad et al.· Frontiers in Artificial Inte...· 0 citations
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