Author

Michal Ozery-Flato

IBM Research - HaifaORCID 0000-0002-8223-7989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

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Dina Schneidman‐DuhovnyiD· 1 shared Haimasree BhattacharyaiD· 1 shared Tomer CoheniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Dina Schneidman‐DuhovnyORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 13, 2026

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

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.

DOI 10.64898/2026.09.06.749672

protein structuredeep learning

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