Author

T. Frohlking

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Biophysics· 1

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

Frequent Co-Authors

G. Bussi· 1 shared J. Sponer· 1 shared M. Janecek· 1 shared M. Otyepka· 1 shared P. Banas· 1 shared P. Kuhrova· 1 shared V. Mlynsky· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBiophysics

G. Bussi

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1 paper

Recent·Most cited

Towards Convergence in Folding Simulations of RNA Tetraloops: Comparison of Enhanced Sampling Techniques and Effects of Force Field Corrections

V. Mlynsky, M. Janecek, P. Kuhrova, T. Frohlking, M. Otyepka, G. Bussi, P. Banas, J. Sponer

This study compares enhanced sampling techniques and force field corrections for RNA tetraloop folding simulations, finding that combining REST2 with ST-MetaD improves sampling efficiency and that force field modifications stabilize native states.

bioRxiv · Nov 30, 2021 · PreprintBiophysics