AIMBE
Designing an effective antibody drug is like searching for the right key in a warehouse of locks. Scientists may begin with million— or even billions—of antibody candidates, but only a tiny fraction will recognize and bind tightly to the disease target. Identifying those rare candidates has long been one of the biggest challenges in developing antibody medicines.
Boston University (BU) researchers have now developed an antibody-specific AI framework that dramatically narrows that search. Rather than building a larger AI model, the team redesigned how AI learns, focusing it on the small regions of antibodies that recognize disease targets… Continue reading.
