Mar 22 2024McMaster University
In a new study, published today in the journal Nature Machine Intelligence, researchers report they have developed a new generative AI model called SyntheMol, which can design new antibiotics to stop the spread of Acinetobacter baumannii, which the World Health Organization has identified as one of the world's most dangerous antibiotic-resistant bacteria.
"Antibiotics are a unique medicine. As soon as we begin to employ them in the clinic, we're starting a timer before the drugs become ineffective, because bacteria evolve quickly to resist them," says Jonathan Stokes, lead author on the paper and an assistant professor in McMaster's Department of Biomedicine & Biochemistry, who conducted the work with James Zou, an associate professor of biomedical data science at Stanford University.
Researchers developed the generative model to access tens of billions of promising molecules quickly and cheaply.
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