Author

Tomer Cohen

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Review Open access Sep 2026

A structural antibody benchmark for leakage-aware deep-learning evaluation

Deep-learning methods for antibody structure prediction, antibody-antigen interaction modelling and design are advancing rapidly. However, comparisons across studies remain difficult because training and test sets are often constructed independently, and a temporal cutoff alone does not prevent train-test leakage. We p...

Tomer Cohen, H. Bhattacharya, Michal Ozery-Flato et al. · bioRxiv · 0 citations

Review Open access Jul 2026

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-...

Tomer Cohen, Tanya Hochner, Dina Schneidman-Duhovny · Current Opinion in Structura... · 1 citation