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Stanford researchers have identified a naturally occurring molecule named BRP that effectively reduces appetite and body weight in animals, similar to the effects of semaglutide (Ozempic), but without the associated side effects like nausea and muscle loss. This discovery was facilitated by artificial intelligence, which helped pinpoint BRP from a pool of prohormones, indicating its potential as a more targeted obesity treatment. The research highlights BRP's unique action in the hypothalamus, differentiating it from semaglutide's broader effects on various body systems.
The study, published in Nature, showcases the innovative use of AI in biomedical research, particularly through the development of the Peptide Predictor algorithm. This algorithm enabled researchers to analyze a vast array of proteins and identify biologically active peptides, leading to the discovery of BRP. The findings suggest a promising avenue for obesity treatment, with clinical trials for human applications anticipated in the near future.
• AI was used to identify the appetite-reducing molecule BRP.
• Peptide Predictor algorithm facilitated the discovery of biologically active peptides.
Artificial intelligence was crucial in analyzing proteins to discover the BRP molecule.
Peptide Predictor is an algorithm designed to identify prohormone cleavage sites in proteins.
Merrifield Therapeutics is co-founded by a researcher involved in the BRP clinical trials.
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