Author

W. Schumann

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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Biophysics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:mechanistic / dynamical model· 2 Research Focus:protein folding & dynamics· 2 Assay:structural biology· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Strodel· 3 shared A. Paul· 1 shared A.-M. Illig· 1 shared B. Barz· 1 shared D. Degrandi· 1 shared G. Poschmann· 1 shared J. Loschwitz· 1 shared J. Reiners· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBiophysics

B. Strodel

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Allosteric communication induced by GTP binding sets off a closed-to-open transition in a bacterial dynamin-like protein

W. Schumann, B. Strodel

The paper uses molecular dynamics simulations to show GTP binding triggers a closed-to-open conformational change in a bacterial dynamin-like protein through an allosteric network.

bioRxiv · Jan 16, 2023 · PreprintBiophysics

Integrative modeling of guanylate binding protein dimers

W. Schumann, J. Loschwitz, J. Reiners, D. Degrandi, K. Pfeffer, K. Stuehler, G. Poschmann, S. Smits, B. Strodel

The paper models dimer structures of GBP proteins using integrative methods, revealing structural differences that explain functional divergence.

bioRxiv · Dec 20, 2022Biochemistry

Molecular dynamics simulations of protein aggregation: protocols for simulation setup and analysis with Markov state models and transition networks

S. Samantray, W. Schumann, A.-M. Illig, M. Carballo-Pacheco, A. Paul, B. Barz, B. Strodel

The paper provides protocols for setting up and analyzing molecular dynamics simulations of peptide aggregation using GROMACS, including tools for determining oligomer size and deriving Markov state models and transition networks.

bioRxiv · Apr 25, 2020 · PreprintBiophysics