In 1928, a Scottish scientist named Sir Alexander Fleming left his lab where he was studying the staphylococcus bacteria to go on a two-week vacation with his family. When he returned to his lab bench, he not only realized he hadn't tidied his work space very well, but that the dishes with the bacteria in them were growing mold. He also noticed that the bacteria seemed to be actively avoiding the moldy areas of the petri dish. Later he said "I certainly didn't plan to revolutionize all medicine by discovering the world's first antibiotic, or bacteria killer. But I suppose that was exactly what I did."
These days it doesn't take a slovenly scientist to discover important new antibiotics — it just takes a computer. A group of researchers at the Massachusetts Institute of Technology (MIT) have used artificial intelligence (AI) to identify a new antibiotic that kills even some hitherto antibiotic-resistant strains.
But does this mean they staffed the lab with robots rather than people? Nope! The research team created a computer model that systematically screened more than a hundred million chemical compounds in just a few days — a feat that would take lab technicians many years (and a lot of the same sort of scientific serendipity that visited Fleming) to accomplish.
Very few new antibiotics have been discovered in the past decade, during which time bacteria are getting tougher.
"We're facing a growing crisis around antibiotic resistance, and this situation is being generated by both an increasing number of pathogens becoming resistant to existing antibiotics, and an anemic pipeline in the biotech and pharmaceutical industries for new antibiotics," said James Collins, a professor in MIT's Institute for Medical Engineering and Science (IMES) and Department of Biological Engineering, in a press release.