Author

Diana A. Kondinskaia

Cambridge Crystallographic Data CentreORCID 0009-0005-8850-9091Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Approach:statistical model· 1

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Bojana PopoviciD· 1 shared Charlotte M. DeaneiD· 1 shared Fergus ImrieiD· 1 shared James Henry BrosteriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Bojana PopovicORCID

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1 paper

Recent·Most cited

BioinformaticsChemical SciencePeer-reviewedJan 1, 2026

Teaching Diffusion Models Physics: Reinforcement Learning for Physically Valid Diffusion-Based Docking

James Henry Broster, Bojana Popovic, Diana A. Kondinskaia…·Fergus Imrie

This paper improves diffusion-based molecular docking by using reinforcement learning to enforce physical validity, enhancing pose accuracy without increasing computational cost.

DOI 10.1039/d6sc02655a

protein structuredeep learning

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