MIT releases breakthrough protein-binding affinity model, expanding role of AI in drug discovery

Understanding how molecules interact is central to biology: from decoding how living organisms function to uncovering disease mechanisms and developing life-saving drugs. In recent years, models like AlphaFold changed our ability to predict the 3D structure of proteins, offering crucial insights into molecular shape and interaction. But while AlphaFold could show how molecules fit together, it couldn’t measure how strongly they bind — a key factor in understanding all aforementioned. That missing piece is where MIT’s new AI model, Boltz-2, comes in. 

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A small molecule binds to an OX2 protein. The new foundation model Boltz-2, developed by researchers at MIT and Recursion, achieves state-of-the-art performance in protein binding affinity prediction (Image: Courtesy of the researchers).
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