AI Algorithm Discovers Powerful New Antibiotic to Fight Superbugs
MIT researchers use a machine learning algorithm to uncover a potent new antibiotic named halicin that kills drug-resistant bacteria. The AI screens millions of compounds to find a weapon that bacteria struggle to evolve resistance against.
Artificial intelligence transforms the search for new medicines as MIT researchers deploy a machine learning algorithm to discover a powerful new antibiotic. The system, named after the AI in 2001: A Space Odyssey, identifies a compound called halicin that successfully wipes out dozens of bacterial strains, including some of the most dangerous drug-resistant bacteria on the World Health Organization's most wanted list.
This breakthrough arrives at a critical time when the pipeline of new antibiotics slows to a trickle and superbugs increasingly evade existing treatments. Unlike traditional methods that rely on chance or natural molecular weapons, the AI screens millions of compounds rapidly to uncover potential drugs that humans might overlook.
In promising laboratory tests, E. coli bacteria fail to develop resistance to halicin over a monthlong experiment, which stands in stark contrast to conventional antibiotics like ciprofloxacin. This resilience signals a major shift in how scientists plan to combat the growing global threat of drug-resistant infections.