From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction via the Enalos Cloud Platform
In silico NAMs, including computational approaches, can contribute to the development of novel Safe and Sustainable by Design chemicals and substances by identifying potentially hazardous ones at an early stage by identifying potentially hazardous ones at an early stage.
Dimitra-Danai Varsou, A. Tsoumanis, E. Longhin et al.
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