Leveraging a Deep Learning Model and Computational Screening for the Discovery of ABCG2 Inhibitors against Drug-Resistant Breast Cancer.
This research identified a small-molecule compound, F0161-0219, as a promising ABCG2 inhibitor, which led to a 1.94-fold sensitization enhancement in ADR-resistant cells, and underscores the potential of leveraging deep learning models and computational screening for the discovery of ABCG2 inhibitors.