Deep learning helps fight against antibiotic resistance.

In a recent paper published in Cell, Krishnan et al. present a generative deep learning platform that combines graph neural network (GNN)-based fragment screening with de novo molecular design to identify NG1 and DN1, two lead compounds with potent in vivo activity against multidrug-resistant N. gonorrhoeae and methicillin-resistant Staphylococcus aureus.