Antibiotics have changed the world. They've made it possible to treat diseases that used to mean anything from discomfort to death. But no new classes of antibiotics have made it to the market since the 1980s.
With an antimicrobial resistance epidemic looming, some researchers are looking to solutions in molecular de-extinction.They've made it possible to treat diseases that used to mean anything from discomfort to death. But no new classes of antibiotics have made it to the market since the 1980s.
As a post-doctorate student at MIT, de la Fuente had an idea: What if machine learning could teach a computer how to innovate at a molecular level? They discovered over 2,500 peptides with anti-infective traits, and wondered: What if they turned their attention toDe la Fuente says organismal de-extinction, the conceit of Jurassic Park, kept coming up in brainstorming sessions. But instead of dinosaurs, they set their eyes on humans' closest ancestors: Neanderthals and Denisovans.
De la Fuente says he and his team did just that – developed a machine learning model that could mine proteomic and genomic data from Neanderthals and Denisovans. The model finds sequences from archaic humans and predicts which ones would be good antibiotic candidates.
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