Open access
Aug 2026
A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability.
The AIntibody challenge shows that AI can optimize antibodies in defined, biologically grounded regimes, in addition to highlighting critical gaps including affinity prediction and library-inspired antibody design and cross-task generalization.
M. Erasmus, Daniel Bedinger, Elizabeth Hopkins et al.
· Nature Biotechnology · 0 citations