Author

D. Prumbaum

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· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:cryo-EM· 2 Research Focus:benchmarking· 1 Approach:biophysical modeling· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

S. Raunser· 3 shared D. Roderer· 2 shared O. Sitsel· 2 shared T. Raisch· 2 shared A. Apelbaum· 1 shared A. Belyy· 1 shared A. Musacchio· 1 shared B. Siebolds· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersBiochemistry

S. Raunser

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Author profile →

3 papers

Recent·Most cited

Multi-state kinetics of the syringe-like injection mechanism of Tc toxins

P. N. Ng`ang`a, J. Folz, S. Kucher, D. Roderer, Y. Xu, O. Sitsel, A. Belyy, D. Prumbaum, R. Kuehnemuth, T. E. Assafa, M. Dong, C. A. M. Seidel, E. Bordignon, S. Raunser

This study investigates the multi-state kinetics of Tc toxin prepore-to-pore transition, identifying intermediate states and transition times under various conditions.

bioRxiv · Jan 16, 2024 · PreprintBiochemistry

Structure of the human inner kinetochore CCAN complex and its significance for human centromere organization

M. E. Pesenti, T. Raisch, D. Conti, I. Hoffmann, D. Vogt, D. Prumbaum, I. R. Vetter, S. Raunser, A. Musacchio

The paper reports a cryo-EM structure of the human CCAN complex and discusses its implications for CENP-A nucleosome recognition and centromere organization.

bioRxiv · Jan 6, 2022Biochemistry

SPHIRE-crYOLO: A fast and accurate fully automated particle picker for cryo-EM

T. Wagner, F. Merino, M. Stabrin, T. Moriya, C. Antoni, A. Apelbaum, P. Hagel, O. Sitsel, T. Raisch, D. Prumbaum, D. Quentin, D. Roderer, S. Tacke, B. Siebolds, E. Schubert, , S. Raunser

The paper introduces crYOLO, a deep learning-based particle picker for cryo-EM that achieves high accuracy and speed, enabling automated data pre-processing.

bioRxiv · Mar 13, 2019Biophysics