Author

R. D. Süssmuth

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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Biochemistry· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:proteomics· 2 Approach:statistical model· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:microscopy & imaging analysis· 1 Organism:mouse· 1

Frequent Co-Authors

B.-F. Hempel· 2 shared M. Damm· 2 shared A. Mainz· 1 shared A. Nalbantsoy· 1 shared B. Göcmen· 1 shared B. Loll· 1 shared C. A. Szentiks· 1 shared D. Petras· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBiochemistry

B.-F. Hempel

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Author profile →

3 papers

Recent·Most cited

BiochemistryNature CommunicationsPeer-reviewedApr 29, 2022

Molecular Basis of Antibiotic Self-Resistance in a Bee Larvae Pathogen

T. Dang, B. Loll, S. Müller…·R. D. Süssmuth

The paper identifies PamZ as a self-resistance factor in Paenibacillus larvae that deactivates paenilamicin by N-acetylation and elucidates its crystal structure.

DOI 10.1038/s41467-022-29829-w

experimental assayhost-pathogen & immune response

𝕏 PostBluesky

BiochemistrybioRxivJan 31, 2022

Spatial Venomics - Cobra Venom System Reveals Spatial Differentiation of Snake Toxins by Mass Spectrometry Imaging

B.-F. Hempel, M. Damm, D. Petras…·R. D. Süssmuth

This study uses MALDI-MSI to map toxin distribution in Egyptian cobra venom glands, revealing spatial heterogeneity at the proteoform level.

DOI 10.1021/acs.jproteome.2c00424

mouseproteomics

𝕏 PostBluesky

BiochemistrybioRxivSep 19, 2019

Extended snake venomics by top-down in-source decay: Investigating the newly discovered Anatolian Meadow viper subspecies, Vipera anatolica senliki

B.-F. Hempel, M. Damm, M. Mrinalini…·R. D. Süssmuth

This study characterizes the venom proteome of the newly discovered Vipera anatolica senliki subspecies using integrative venomics and top-down in-source decay proteomics.

DOI 10.1021/acs.jproteome.9b00869

proteomicsdeep learning

𝕏 PostBluesky