Deep Learning Model Trained on PubMed Text Discovers Novel Antibiotic Co-inhibitors
KevinKaichuang · x · 2026-08-17
A new paper investigates using human language to predict novel bioactive molecules that work in vivo. Researchers trained a deep learning model on a dataset derived from PubMed text and used it to discover novel antibiotic co-inhibitors. The discovered molecules successfully reduced infection burden, demonstrating efficacy even in mouse models.
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