Dina Schneidman-Duhovny

Progress in structure prediction and design of adaptive immune receptors.

Recent progress in structure-based deep learning approaches for AIRs are reviewed, including AIR-specific language models, structure prediction, and epitope-conditioned design, and emerging generative design strategies such as inverse folding, diffusion-based backbone generation, sequence-space diffusion, and sequence-structure co-design are reviewed.