Jun Wu

Antibody screening usually splits specificity, affinity and developability across separate models, and structural information is often compressed into a single confidence score such as ipTM. FoldAbS freezes the open-source folding model Protenix as a shared encoder, trains only lightweight task heads, and supplies specificity supervision with pseudo-negatives built from antigen mismatch, CDRH3 mutation and CDRH3 replacement. With Protenix as backbone, FoldAbS-Px raises macro AUROC on Origin-1 from 0.6690 to 0.7570 and reports the best results on affinity and four developability properties.

Antibody screening usually splits specificity, affinity and developability across separate models, and structural information is often compressed into a single confidence score such as ipTM. FoldAbS freezes the open-source folding model Protenix as a shared encoder, trains only lightweight task heads, and supplies specificity supervision with pseudo-negatives built from antigen mismatch, CDRH3 mutation and CDRH3 replacement. With Protenix as backbone, FoldAbS-Px raises macro AUROC on Origin-1 from 0.6690 to 0.7570 and reports the best results on affinity and four developability properties.