From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction via the Enalos Cloud Platform

A consensus model integrating QSAR, read-across, and deep learning across multiple molecular representations for Ames mutagenicity, giving interpretable predictions (83% external accuracy), and a reusable 3D descriptor pipeline for SSbD screening.