Life Cycle
Thinking in Early Drug Discovery: Reducing
Environmental Impact and Animal Test
A dataset of 1150 compounds used to develop and validate machine learning models for predicting acute oral toxicity across six drug scaffolds. The models, including QSAR, q-RASAR, and deep learning methods, were applied to virtually screen over 23,000 untested molecules. The work was authored by Jianing Xu and last updated on June 2, 2026.