Author

Khriesto A. Shurrush

Weizmann Institute of Science

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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Biochemistry· 1 Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:experimental assay· 2 Assay:protein structure· 2 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Haim Michael BarriD· 2 shared Nir LondoniD· 2 shared Adi RogeliD· 1 shared Alexander S. BrandisiD· 1 shared Almog Nadir· 1 shared Alpha A. LeeiD· 1 shared Anat BahatiD· 1 shared Atar GilatiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBiochemistry

Haim Michael BarrORCID

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Author profile →

3 papers

Recent·Most cited

A pharmacological modality to sequester homomeric proteins

Ella Livnah, Ohad Suss, Adi Rogel, Atar Gilat, Yuval Abdan, José A. Villegas, Ronen Gabizon, Almog Nadir, Yoav Shamir, Noam Y. Steinman, Barr Tivon, Shira Albeck, Tamar Unger, Ofra Golani, Inna Goliand, , Nir London

This paper introduces PINCHs, bifunctional molecules that sequester homomeric proteins by inducing polymerization, demonstrating efficacy in knocking down protein function in cells.

Nature Chemical Biology · Feb 5, 2026Peer-reviewedBiochemistry

Lowering mutant huntingtin by small molecules relieves Huntington's disease symptoms and progression

Anat Bahat, Elad Itzhaki, Benjamin Weiss, Michael Tolmasov, Michael Tsoory, Yael Kuperman, Alexander S. Brandis, Khriesto A. Shurrush, Rivka Dikstein

This study identifies small molecules that lower mutant huntingtin levels, improving HD symptoms and delaying disease progression in mice.

EMBO Molecular Medicine · Feb 19, 2024Peer-reviewedMolecular Biology

Fragment-Based Hit Discovery via Unsupervised Learning of Fragment-Protein Complexes

William McCorkindale, Ivan Ahel, Haim Michael Barr, G.J. Correy, James S. Fraser, Nir London, Marion Schuller, Khriesto A. Shurrush, Alpha A. Lee

This paper uses unsupervised machine learning to identify active fragments from crystallographic data, distinguishing them from inactive ones without activity data.

bioRxiv · Nov 21, 2022 · PreprintBioinformatics