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‘A landmark moment’: scientists use AI to design antibodies from scratch
Modified protein-design tool could make it easier to tackle challenging drug targets — but AI antibodies are still a long way from reaching the clinic.
The proof-of-principle work, reported this week in a preprint on bioRxiv 1, raises the possibility of bringing AI-guided protein design to the therapeutic antibody market, which is worth hundreds of billions of dollars. AI tools that can shortcut those costly efforts have the potential to “democratize the ability to design antibodies”, says study co-author Nathaniel Bennett, a computational biochemist at the University of Washington in Seattle. Using this approach, the researchers designed thousands of antibodies that recognize specific regions of several bacterial and viral proteins — including those that the SARS-CoV-2 and influenza viruses use to invade cells — and a cancer drug target.
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