Author

Vladimir Radenkovic

Recursion (United States)

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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Biophysics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Alex AbrudaniD· 1 shared Andrew J. WedlakeiD· 1 shared Benjamin du PontiD· 1 shared David ErringtoniD· 1 shared Emmanuel BengioiD· 1 shared Francesco Di GiovanniiD· 1 shared Haowen ZhaoiD· 1 shared Kacper KapusniakiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

Alex AbrudanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Nesso-1: Accelerating Open-Source Binding Affinity Predictions

Nikhil Shenoy, David Errington, Emmanuel Bengio, Kacper Kapusniak, Kerstin Kläser, Yui Tik Pang, Vladimir Radenkovic, Prudencio Tossou, Thérence Bois, Andrew J. Wedlake, Francesco Di Giovanni

Nesso-1 is an open-source binding affinity prediction tool that is significantly faster than Boltz-2 while maintaining or improving accuracy on both in-distribution and out-of-distribution data.

bioRxiv · Aug 3, 2026 · PreprintMolecular Biology

Model Agnostic Conditioning of Boltzmann Generators for Peptide Cyclization

Benjamin du Pont, Alex Abrudan, Rob M. Scrutton, Vladimir Radenkovic, Haowen Zhao, Tuomas P. J. Knowles

This paper introduces a model-agnostic framework to condition Boltzmann generators for sampling cyclic peptide conformations without retraining, using chemically informed loss functions and geometric constraints.

bioRxiv · Aug 15, 2025 · PreprintBiophysics