Author

Andreas F. R. Hühmer

Nautilus (United States)ORCID 0009-0006-0825-9166Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

A FortoniD· 1 shared Adedeji Daniel OgunyemiiD· 1 shared Ahana Dutta· 1 shared Alexis L. RohouiD· 1 shared Armin SoleymaniniyaiD· 1 shared Bernard DelangheiD· 1 shared Bernhard KüsteriD· 1 shared Brittany Nortman· 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 paperBiochemistry

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2 papers

Recent·Most cited

BiochemistryNature MethodsPeer-reviewedSep 1, 2026

Large-scale single-molecule analysis of tau proteoforms

James H. Joly, Vivekananda Budamagunta, Zhengjian Zhang…·Cara Li

This paper introduces IMaP, a method to analyze tau proteoforms at the single-molecule level, revealing ordered phosphorylation patterns and disease-specific modifications.

8 citationstop 1%

humanmouse

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BioinformaticsbioRxivPreprintNov 7, 2025

Learning the Unseen: Data-Augmented Deep Learning for PTM Discovery with Prosit-PTM

Wassim Gabriel, Daniel Paul Zolg, Victor Giurcoiu…·Mathias Wilhelm

This paper introduces Prosit-PTM, a deep learning model for PTM discovery that improves zero-shot prediction using a synthetic dataset and chemically-informed encoding.

DOI 10.1101/2025.11.07.687302

proteomicsdeep learning

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