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#artificial intelligence Open access Oct 2026

Validation and analysis of 12,000 AI-driven CAR-T designs in the Bits to Binders competition.

Artificial intelligence (AI) methods for proteins have advanced rapidly, improving structure prediction and design, particularly for de novo binders. However, most evaluations emphasize binding affinity rather than higher-order biological function. We present Bits to Binders, a global competition evaluating de novo bin...

Clayton W. Kosonocky, Alex M. Abel, Aaron L. Feller et al. · 6 citations · ⚡2
Open access Sep 2026

BAGEL-CAR: Reflections on the Bits to Binders Competition

The antigen-binding segment of chimeric antigen receptors (CARs) in CAR-T therapy has emerged as a compelling application of de novo AI protein design. In the Bits to Binders competition, our group submitted 414 BAGEL-CAR designs for CD20-directed CAR binding segments, 38.4% of which were statistically enriched in a po...

J. Lála, S. Angioletti-Uberti · 0 citations

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