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He then talked about the use of AI to predict antibacterially active compounds that can be made from commercial fragments in straightforward chemical reactions and how they applied this strategy to the discovery of synthecin, active against S. aureus. (3/4) link.springer.com/article/10.1...
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The rise of antibiotic-resistant pathogens such as Staphylococcus aureus has created an urgent need for new antibiotics. Generative artificial intelligence (AI) has shown promise in drug discovery, bu...
link.springer.com
SyntheMol-RL: a flexible reinforcement learning framework for designing easily synthesizable antibiotics - Molecular Systems Biology
Stephan Hacker