Author

Maximilian Krebs

TU Dortmund UniversityORCID 0000-0002-5862-4516Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Herre Jelger RisseladaiD· 2 shared Alexander KrosiD· 1 shared Dennis AschmanniD· 1 shared Jan MünchiD· 1 shared Jeroen MethorstiD· 1 shared Maria HoernkeiD· 1 shared Niek van HilteniD· 1 shared Pascal von MaltitziD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBiophysics

Herre Jelger RisseladaORCID

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2 papers

Recent·Most cited

Lipidomic Profile Reconstruction of TherapeuticMembrane Targets Using Physics-BasedOptimization with Limited Activity Data

Maximilian Krebs, Herre Jelger Risselada

The paper reconstructs lipidomic profiles from limited sequence data to reveal targeting patterns of therapeutic peptides and selectivity mechanisms of membrane-associated proteins.

Advanced Science · Sep 3, 2026Peer-reviewedBiophysics

A narrow thermodynamic design window governs selective membrane permeabilization and antiviral activity of amphipathic peptides

Niek van Hilten, Pascal von Maltitz, Dennis Aschmann, Maria Hoernke, Maximilian Krebs, Jeroen Methorst, Alexander Kros, Jan Münch, Herre Jelger Risselada

The paper identifies a narrow thermodynamic design window for amphipathic peptides to selectively permeabilize viral membranes while sparing host cells, using a physics-driven generative workflow.

bioRxiv · Apr 22, 2026 · PreprintBiophysics