New antibiotics AI breakthrough

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A team of researchers at the laboratory of James Collins of the Broad Institute of the Massachusetts Institute of Technology and Harvard University has made a significant breakthrough in the field of antibiotic discovery using artificial intelligence (AI). They used a type of AI known as deep learning to screen millions of compounds for antibiotic activity12. The researchers tested 283 promising compounds in mice and found several that were effective against methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci, which are among the most stubbornly hard-to-kill pathogens1. The AI model used in this research is "explainable," meaning it's possible to understand the biochemistry behind its reasoning110. This development is significant because antibiotic resistance is among the biggest global threats to human health, responsible for an estimated 1.27 million deaths in 2019 and contributing to nearly five million more13. The problem has worsened during the COVID-19 pandemic, and no new classes of antibiotics have been developed for decades13. The compounds discovered by the researchers also show very low toxicity against human cells, making them particularly good drug candidates2. The researchers have shared their findings with Phare Bio, a nonprofit started by Collins and others as part of the Antibiotics-AI Project. The nonprofit now plans to do more detailed analysis of the chemical properties and potential of these compounds2. This breakthrough is part of an emerging area of research that aims to use AI for antibiotic discovery and design13. The use of AI dramatically cuts the time it takes to sort through thousands of promising compounds, accelerating the drug discovery process11. However, it's important to note that these new antibiotic candidates will need to undergo further testing and refinement before they can be used clinically3. This includes systematic toxicity studies and pre-IND (investigational new drug) studies3. Despite these necessary steps, the discovery of a new class of antibiotics using AI is a significant advancement in the fight against antibiotic resistance.
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