Author

Iris Lyubman

Tel Aviv University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Approach:deep learning· 1 Approach:large language model· 1 Research Focus:protein design· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Edo DotaniD· 2 shared Tal PupkoiD· 2 shared Yonatan BelinkoviD· 2 shared Asaf Schers· 1 shared Elya Wygoda· 1 shared Eran BacharachiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Edo DotanORCID

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2 papers

Recent·Most cited

Ancestral sequence reconstruction using generative models

Edo Dotan, Elya Wygoda, Asaf Schers, Iris Lyubman, Yonatan Belinkov, Tal Pupko

This paper introduces BetaReconstruct, a generative model for ancestral sequence reconstruction that outperforms traditional methods without requiring multiple sequence alignments or phylogenetic trees.

bioRxiv · Jan 21, 2026 · PreprintBioinformatics

Protein2Text: Providing Rich Descriptions for Protein Sequences

Edo Dotan, Iris Lyubman, Eran Bacharach, Tal Pupko, Yonatan Belinkov

The paper introduces BetaDescribe, a model that generates rich textual descriptions of proteins, enhancing understanding of their functions and properties.

bioRxiv · Dec 4, 2024 · PreprintBioinformatics