AI Breakthrough Reveals Nearly One Million Potential New Antibiotics

Researchers use machine learning to identify antimicrobial peptides, offering hope in the fight against drug-resistant infections.

Study published in Cell details the discovery of 863,498 new antimicrobial peptides using AI.
Researchers synthesized 100 peptides, with 79 showing effectiveness against bacterial infections.
63 peptides specifically targeted antibiotic-resistant bacteria such as E. coli and Staphylococcus aureus.
The dataset is open access, enabling further research and potential development of new antibiotics.
Experts highlight the need for commercial viability and continued investment in antibiotic research.