Author

Martin Stoll

École Polytechnique Fédérale de LausanneORCID 0000-0003-0951-4756Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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

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

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2025-2025 · peak 1/yr

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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

BiophysicsbioRxivPreprintAug 15, 2025

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

Lucas S. P. Rudden, Remo Bättig, Vinnie Andrews…·Patrick Barth

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

3 citations

protein structureprotein sequence

𝕏 PostBluesky