Author

Yael Ziv

University of OxfordORCID 0000-0003-0179-9945Unclaimed 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:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Brian D. MarsdeniD· 2 shared Charlotte Mary DeaneiD· 2 shared Fergus ImrieiD· 1 shared Lukas Scheiblerger· 1 shared Martin ButtenschoeniD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersMolecular Biology

Brian D. MarsdenORCID

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2 papers

Recent·Most cited

Molecular BiologybioRxivPreprintOct 20, 2025

INTERPOLATION-BASED CONDITIONING OF FLOW MATCHING MODELS FOR BIOISOSTERIC LIGAND DESIGN

Yael Ziv, Martin Buttenschoen, Lukas Scheiblerger…·Charlotte Mary Deane

The paper introduces two conditioning strategies for flow-matching models to generate bioisosteric 3D molecules without retraining, demonstrating effectiveness on drug-relevant tasks.

1 citation

deep learningstatistical model

𝕏 PostBluesky

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedApr 18, 2025

MolSnapper: Conditioning Diffusion for Structure Based Drug Design

Yael Ziv, Fergus Imrie, Brian D. Marsden, Charlotte Mary Deane

MolSnapper improves structure-based drug design by conditioning diffusion models with 3D pharmacophores, generating more valid molecules with higher structural and chemical similarity.

21 citationstop 1%

proteomicsdiffusion model

𝕏 PostBluesky