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In a paper published in Proceedings of the National Academy of Sciences, researchers from the Technion – Israel Institute of Technology and Tel Aviv University present BetaDescribe, an AI system that translates protein sequences into natural-language descriptions, opening a new path toward understanding protein functions and accelerating drug development and material design.
Protein analysis is essential in medicine and biotechnology, as demonstrated by breakthroughs such as Ozempic, a drug whose development was inspired by a peptide found in the saliva of a rare desert lizard and is used to treat obesity, diabetes and other conditions. However, experimental protein characterization remains a lengthy and expensive process, and even large language models (LLMs) have had limited success in performing this task.
This challenge inspired the development of BetaDescribe, an AI system that converts protein sequences into detailed textual descriptions of their functions and other characteristics. In doing so, the system helps bridge the vast gap between the hundreds of thousands of proteins characterized in the lab and the billions or even trillions that actually exist in nature.