this post was submitted on 15 Oct 2025
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First, the team inputted the structure of the cancer target into a generative AI model called RFdiffusion. That model had been trained on known protein structures and their amino acid sequences, the strings of building blocks that fold up into individual proteins. RFdiffusion proposed protein shapes that fit the target like a key fits a lock. A second AI model suggested strings of amino acids that, when folded into 3-D structures, would likely form the proposed shapes. Jenkins and his colleagues then blasted through tens of thousands of protein designs and, with the help of a third AI model that checked all that work, narrowed the designs down to 44 options that they tested in the lab. One appeared to be a winner. In lab experiments, human T cells engineered to have the AI-designed protein on their surface could rapidly kill melanoma cells and prevent the cancer from growing.
Yeah, the people actually making progress were doing it before Sam Altman. RFdiffusion was made by the same people who released Rosetta@home 20 years ago