Research progress on using computers to design proteins like antibodies is still in the early days, according to Nobel laureate David Baker. In a paper published Wednesday
in Nature, Baker details the work behind RFantibody, the diffusion-based, antibody-making AI model from his lab. That includes generating full-length antibodies by computational design. Baker, director of the University of Washington's Institute for Protein Design, had already shared much of the work in preprints going back to last March. In an interview with Endpoints News, he laid out where he sees the field going next. "This is very much a culmination, but it's not the end of the story," Baker told Endpoints. "I think we'll see continued improvement in computational antibody design, to the point where I expect, within several years, it will become the industry standard." |