Author

Elisabeth Zollbrecht

Max Planck Institute of Biochemistry

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

Biology Disciplines

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Systems Biology· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:proteomics· 3 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Matthias ManniD· 3 shared André C. MichaelisiD· 2 shared Christian Pensl· 2 shared Louisa GrauvogeliD· 2 shared Tim HeymanniD· 2 shared Adam S Zhang· 1 shared Albert HungiD· 1 shared Benjamin E. GewurziD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersSystems Biology

Matthias MannORCID

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3 papers

Recent·Most cited

The diverse functions of viral microproteins

Yi Hua Chen, Louisa Grauvogel, Adam S Zhang, André C. Michaelis, Tim Heymann, Elisabeth Zollbrecht, Paulina Engel, Christian Pensl, Kathryn E. Yost, Wesley Suen, Sumita Sinha, Edwin N. Neumann, Stephen Joseph Elledge, Karl‐Peter Hopfner, Benjamin E. Gewurz, , Jonathan S. Weissman

A >50,000-element viral smORF library screened by growth, MHC-I, ER stress, Perturb-seq and mass spectrometry yields >2,000 active microproteins and shows EBV BNLF2b inhibits PKA by mimicry.

bioRxiv · Aug 24, 2026 · PreprintSystems Biology✦ In-depth digest

HIP-MS: An ultra-high-throughput, sensitive, and versatile affinity enrichment platform for static and dynamic interactome profiling

Louisa Grauvogel, Elisabeth Zollbrecht, Tim Heymann, Vincenth Brennsteiner, Christian Pensl, André C. Michaelis, Matthias Mann

HIP-MS is an automated platform for high-throughput interactome profiling that improves sensitivity and throughput compared to traditional AE-MS methods.

bioRxiv · Jun 8, 2026 · PreprintSystems Biology

Reprogramming insulin receptor activation with a de novo agonist to overcome severe insulin resistance

Albert Hung, Xinru Wang, Michael Gao, Michelle Ng, Denys Oliinyk, Riley R. Weaver, Elisabeth Zollbrecht, Sarah Caixeta Cardoso, Gregory Sebastien Ronel, Chloe A Paolucci, Jianxiang Ye, Qing Fan, Elizabeth M. Rhea, Matthias Mann, David A. Baker, , Eunhee Choi

This study develops a de novo insulin receptor agonist, RF-409, which effectively treats severe insulin resistance in a mouse model by activating a mutant receptor and improving glucose homeostasis.

bioRxiv · May 7, 2026 · PreprintPharmacology & Toxicology