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.
Deep learning helps fight against antibiotic resistance / Lavecchia, A.. - In: CELL HOST & MICROBE. - ISSN 1931-3128. - 33:10(2025), pp. 1641-1642. [10.1016/j.chom.2025.09.005]
Deep learning helps fight against antibiotic resistance
Lavecchia A.
Ultimo
2025
Abstract
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.File in questo prodotto:
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