Tomer Cohen

NanoNet: Rapid and accurate end-to-end nanobody modeling by deep learning

D. Schneidman-Duhovny, Tomer Cohen, Matan Halfon, 2022, Frontiers in Immunology.

Structure modeling and specificity of peptide-MHC class I interactions using geometric deep learning

D. Schneidman-Duhovny, Tomer Cohen, Alon Aronson, 2022, bioRxiv.

Potent neutralizing nanobodies resist convergent circulating variants of SARS-CoV-2 by targeting diverse and conserved epitopes

Anna K Belford, D. Schneidman-Duhovny, Wei Huang, 2021, Nature Communications.

NanoNet: Rapid end-to-end nanobody modeling by deep learning at sub angstrom resolution

D. Schneidman-Duhovny, Tomer Cohen, Matan Halfon, 2021, bioRxiv.

Potent neutralizing nanobodies resist convergent circulating variants of SARS-CoV-2 by targeting novel and conserved epitopes

Anna K Belford, D. Schneidman-Duhovny, Wei Huang, 2021, bioRxiv.

Self-Supervised Dynamic Networks for Covariate Shift Robustness pdf

Erez Farhan, Roey Mechrez, Tomer Cohen, 2020, ArXiv.

Bidirectional One-Shot Unsupervised Domain Mapping

Lior Wolf, Tomer Cohen, Tomer Cohen, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

Johnathan D. Guest, Adam K. Sieradzan, Charles W Christoffer, 2023, Proteins.