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AI system translates protein sequences into text, helping reveal functions of unknown proteins
United Kingdom🔬 Scienceyesterday

AI system translates protein sequences into text, helping reveal functions of unknown proteins

Researchers from Technion and Tel Aviv University developed an AI system called BetaDescribe that translates protein sequences into natural-language descriptions, aiding in understanding protein functions and accelerating drug development. The system addresses challenges in protein characterization by using a combination of generative models and verification processes, allowing it to infer functions even for proteins not similar to known ones. The technology has been tested on six previously uncharacterized proteins and is expected to improve efficiency in biomedical research and biotechnology. The study was published in the Proceedings of the National Academy of Sciences.

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Phys.org logoPhys.orgIndependentCenteryesterday
AI system translates protein sequences into text, helping reveal functions of unknown proteins

Researchers from Technion and Tel Aviv University developed an AI system called BetaDescribe that translates protein sequences into natural-language descriptions, aiding in understanding protein functions and accelerating drug development. The system addresses challenges in protein characterization by using a combination of generative models and verification processes, allowing it to infer functions even for proteins not similar to known ones. The technology has been tested on six previously uncharacterized proteins and is expected to improve efficiency in biomedical research and biotechnology. The study was published in the Proceedings of the National Academy of Sciences.

Bias read (Center): The article presents scientific research without political implications. It focuses on technological advancement in biology and does not take a stance on political issues, policies, or ideologies. The framing is neutral and objective, focusing solely on the scientific contribution and its potential,

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