Machine learning modeling of acute inhalation toxicity using an RFA-RFR framework, supported by explainable AI and SALI-based activity cliff analysis
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The present study develops machine learning models to predict the acute inhalation toxicity (pLC₅₀) of a diverse set of 552 molecules. Following dataset curation from the Integrated Chemical Environment (ICE) database, 3D molecular structures were generated ... ...
