Author

Michal Winnicki

École Polytechnique Fédérale de Lausanne

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

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Biophysics· 1

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Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Damien ThéveniniD· 1 shared Julie V. NguyeniD· 1 shared Lorenzo Scutteri· 1 shared Lucas S. P. RuddeniD· 1 shared Martin StolliD· 1 shared Matthew Edwin CalliD· 1 shared Melissa Joy CalliD· 1 shared Patrick BarthiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Damien ThéveninORCID

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1 paper

Recent·Most cited

Deep learning-based joint sequence-structure de novo membrane protein design

Lucas S. P. Rudden, Remo Bättig, Vinnie Andrews, Julie V. Nguyen, Martin Stoll, Lorenzo Scutteri, Michal Winnicki, Melissa Joy Call, Matthew Edwin Call, Damien Thévenin, Patrick Barth

This paper introduces TMDiffusion, a deep learning model for designing membrane proteins, achieving high experimental success and accurate structural predictions.

bioRxiv · Aug 15, 2025 · PreprintBiophysics