Author

Stefanie Jegelka

Technical University of MunichORCID 0000-0002-6121-9474Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:diffusion model· 2 Research Focus:drug response / drug discovery· 1 Organism:mouse· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Bruno Puczko-SzymańskiiD· 1 shared César de la Fuente‐NúñeziD· 1 shared Coos A. B. BaakmaniD· 1 shared David FrühbußiD· 1 shared Diogo SoaresiD· 1 shared Erik J. BekkersiD· 1 shared Ewa SzczurekiD· 1 shared Fabian Joachim TheisiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bruno Puczko-SzymańskiORCID

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2 papers

Recent·Most cited

Designing antimicrobials with programmable mechanism and safety

Paulina Szymczak, Marcelo D. T. Torres, Diogo Soares, Leon Hetzel, Bruno Puczko-Szymański, Stefanie Jegelka, Stephan Günnemann, Fabian Joachim Theis, César de la Fuente‐Núñez, Ewa Szczurek

OmegAMP generates antimicrobial peptides with controlled physicochemical properties and safety profiles, showing activity against drug-resistant bacteria in vitro and in vivo.

bioRxiv · Sep 1, 2026 · PreprintBioinformatics

Fast and Accurate Peptide - MHC Structure Prediction via an Equivariant Diffusion Model

David Frühbuß, Coos A. B. Baakman, Siem Teusink, Erik J. Bekkers, Stefanie Jegelka, Li C. Xue

MHC-Diff predicts peptide-MHC structures with high accuracy and speed using a diffusion model, outperforming existing methods.

bioRxiv · Apr 28, 2025 · PreprintBioinformatics