Author
Hebrew University of JerusalemORCID 0000-0003-0005-2970Unclaimed ORCID profile · follow to get notified of new preprints
Mutual co-authors in cluster
4 papers
Recent·Most cited
Tomer Cohen, Haimasree Bhattacharya, Michal Ozery-Flato, Dina Schneidman‐Duhovny
The paper introduces SABLE, a benchmark for evaluating deep-learning methods in antibody structure prediction, with leakage-controlled test sets and versioned resources.
Ignas Galminas, Omer Sabary, Hadas Abraham…·Simonas Juzėnas
NinjaSeq replaces conventional end-repair/dA-tailing with restriction enzymes for nanopore sequencing, enabling random access and improved decoding accuracy.
Alon Aronson, Tanya Hochner, Tomer Cohen, Dina Schneidman‐Duhovny
The paper introduces MHCfold, a deep learning model that predicts peptide-MHC class I structures and binding specificity, achieving high accuracy and enabling high-throughput analysis.
Tomer Cohen, Matan Halfon, Dina Schneidman‐Duhovny
NanoNet is a deep learning model that predicts high-resolution 3D structures of nanobody variable domains from sequences, achieving sub-angstrom accuracy and enabling rapid high-throughput modeling.