Deep Learning Discovers Antibiotics

Researchers have developed an innovative approach using explainable deep learning to identify new structural classes of antibiotics crucial for combating antibiotic resistance. By employing graph neural networks to analyse a vast array of chemical compounds, they have successfully discovered compounds effective against MRSA and other resistant bacteria with low human toxicity. This method surpasses traditional drug discovery methods in efficiency, marking a significant advancement in the ongoing fight against antibiotic-resistant infections. More details in the Nature paper here: Discovery of a structural class of antibiotics with explainable deep learning{:target="_blank"}.

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