Jo Marchant
5-6 minutes
https://www.nature.com/articles/d41586-020-00018-3
Coloured scanning electron micrograph (SEM) of Escherichia coli bacteria (green) taken from the small intestine of a child.
Escherichia coli bacteria, coloured green, in a scanning electron micrograph.Credit: Stephanie Schuller/SPL
A pioneering machine-learning approach has identified powerful new types of antibiotic from a pool of more than 100 million molecules — including one that works against a wide range of bacteria, including tuberculosis and strains considered untreatable.
