Author

D. Aschmann

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Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Kros· 1 shared C. Hoffmann· 1 shared D. Milovanovic· 1 shared H. J. Risselada· 1 shared H. Wang· 1 shared J. Czub· 1 shared J. Methorst· 1 shared L. Andreas· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

A. Kros

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1 paper

Recent·Most cited

Physics-based inverse design of cholesterolattracting transmembrane helices reveals aparadoxical role of hydrophobic length

J. Methorst, N. Verwei, C. Hoffmann, P. Chodnicki, R. Sansevrino, H. Wang, N. van Hilten, D. Aschmann, A. Kros, L. Andreas, J. Czub, D. Milovanovic, H. J. Risselada

This paper uses evolutionary algorithms and molecular dynamics to identify optimal cholesterol-attracting transmembrane helices, revealing a paradoxical role of hydrophobic length.

bioRxiv · Jul 1, 2021Biophysics