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Short Wave

Thanks, Neanderthals: How our ancient relatives could help find new antibiotics

Oct 30, 2023
César de la Fuente, a bioengineering professor at the University of Pennsylvania, discusses the potential of our ancient relatives in the fight against antibiotic resistance. He highlights how machine learning is used to uncover new antibiotics from ancient molecules, specifically those from Neanderthals and Denisovans. De la Fuente delves into ethical concerns surrounding de-extinction and shares insights on a promising peptide called Neanderthaline 1. The conversation is a fascinating blend of ancient science and modern medicine, perfect for curious minds.
12:33

Podcast summary created with Snipd AI

Quick takeaways

  • Machine learning has expedited the process of discovering new antibiotics, with thousands of preclinical candidates identified in hours.
  • Molecular de-extinction, using DNA data from ancient humans like Neanderthals, has yielded promising peptides for developing new antibiotics.

Deep dives

The Rise of Antibiotic Resistance

Antibiotics have revolutionized healthcare by treating various diseases, but the increasing resistance of bacteria to these drugs poses a silent pandemic. Without new classes of antibiotics since the 1980s, finding and testing new drugs has become expensive. However, researchers have employed machine learning to tackle this issue. By training a computer to execute Darwin's algorithm of evolution, scientists have developed more effective antibiotics. These computer-created antibiotics have shown promise in killing bacteria, even in clinical isolates. The use of artificial intelligence (AI) in antibiotic discovery has expedited the process, allowing thousands of preclinical candidates to be identified in hours, compared to years in traditional methods.

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