Author

J. Thomsen

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· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:benchmark study· 1 Research Focus:cell signaling & trafficking· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1 Organism:plant (other)· 1

Frequent Co-Authors

M. B. Sletfjerding· 3 shared N. S. Hatzakis· 3 shared S. B. Jensen· 2 shared A. Barth· 1 shared A. V. Pandey· 1 shared B. L. Moller· 1 shared B. Paul· 1 shared C. A. M. Seidel· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBiophysics

M. B. Sletfjerding

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Inferring kinetic rate constants from single-molecule FRET trajectories - a blind benchmark of kinetic analysis tools

M. Götz, A. Barth, S. S.- R. Bohr, R. Börner, J. Chen, T. Cordes, D. A. Erie, C. Gebhardt, M. C. A. S. Hadzic, G. L. Hamilton, N. S. Hatzakis, T. Hugel, L. Kisley, D. C. Lamb, C. de Lannoy, , S. Schmid

This study benchmarks eleven tools for inferring kinetic rate constants from smFRET trajectories using simulated and experimental data with varying challenges.

bioRxiv · Nov 23, 2021Biophysics

Across kingdom biased CYP-mediated metabolism via small-molecule ligands docking on P450 oxidoreductase

S. B. Jensen, S. Thodberg, S. Parween, M. E. Moses, C. C. Hansen, J. Thomsen, M. B. Sletfjerding, C. Knudsen, R. D. Giudice, P. M. Lund, P. R. Castano, Y. G. Bustamante, F. S. Jorgensen, A. V. Pandey, T. Laursen, , N. S. Hatzakis

The paper identifies ligands that dock on P450 oxidoreductase (POR) to bias its specificity towards CYP redox partners, revealing a mechanism for pathway-specific metabolism.

bioRxiv · Sep 23, 2020 · PreprintBiophysics

DeepFRET: Rapid and automated single molecule FRET data classification using deep learning

J. Thomsen, M. B. Sletfjerding, S. Stella, B. Paul, S. B. Jensen, M. G. Malle, T. Petersen, G. Montoya, N. S. Hatzakis

DeepFRET automates smFRET data classification using deep learning, achieving >95% accuracy and speed compared to human operators.

bioRxiv · Jun 26, 2020Biophysics