Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2021
- Published
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion
Pinholt, H. D., Bohr, S. S. R., Iversen, J. F., Boomsma, Wouter & Hatzakis, Nikos, 2021, In: Proceedings of the National Academy of Sciences of the United States of America. 118, 31, 7 p., e2104624118.Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
Orchestration of signaling by structural disorder in class 1 cytokine receptors
Seiffert, P., Bugge, K., Nygaard, M., Haxholm, G. W., Martinsen, J. H., Pedersen, M. N., Arleth, Lise, Boomsma, Wouter & Kragelund, Birthe Brandt, 24 Aug 2020, In: Cell Communication and Signaling. 18, 1, 30 p., 132.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Context Matters in Disorder Based Protein Communication
Kragelund, Birthe Brandt, Prestel, Andreas, Wickmann, N., Martins, J., Boomsma, Wouter, Staby, L., Hendus-Altenburger, R. & Skriver, Karen, 2020, In: Biophysical Journal. 118, 3, suppl. 1, p. 491A 2407-Plat.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
- Published
IDDomainSpotter: Compositional bias reveals domains in long disordered protein regions—Insights from transcription factors
Millard, P. S., Bugge, K., Marabini, R., Boomsma, Wouter, Burow, Meike & Kragelund, Birthe Brandt, 2020, In: Protein Science. 29, 1, p. 169-183 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2019
- Published
Barnaba: software for analysis of nucleic acid structures and trajectories
Bottaro, S., Bussi, G., Pinamonti, G., Reisser, S., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2019, In: RNA. 25, 2, p. 219-231Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Random coil chemical shifts for serine, threonine and tyrosine phosphorylation over a broad pH range
Hendus-Altenburger, R., Fernandes, Catarina, Bugge, K., Kunze, M. B. A., Boomsma, Wouter & Kragelund, Birthe Brandt, 2019, In: Journal of Biomolecular NMR. 73, 12, p. 713–725 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The PCNA interaction motifs revisited: thinking outside the PIP-box
Prestel, Andreas, Wichmann, N., Martins, J. M., Marabini, R., Kassem, N., Broendum, S. S., Otterlei, M., Nielsen, Olaf, Willemoës, Martin, Ploug, Michael, Boomsma, Wouter & Kragelund, Birthe Brandt, 2019, In: Cellular and Molecular Life Sciences. 76, 24, p. 4923-4943Research output: Contribution to journal › Journal article › Research › peer-review
- 2018
- Published
Driving Structural Transitions in Molecular Simulations Using the Nonequilibrium Candidate Monte Carlo
Kurut, A., Fonseca, R. & Boomsma, Wouter, 25 Jan 2018, In: Journal of Physical Chemistry Part B: Condensed Matter, Materials, Surfaces, Interfaces & Biophysical. 122, 3, p. 1195-1204Research output: Contribution to journal › Journal article › Research › peer-review
- Published
3D steerable CNNs: Learning rotationally equivariant features in volumetric data
Weiler, M., Geiger, M., Welling, M., Boomsma, Wouter & Cohen, T., 2018, Proceedings of the 32nd International Conference on Neural Information Processing Systems. derc ed. NIPS Proceedings, Vol. 2018. p. 10381-10392 12 p. (Advances in Neural Information Processing Systems, Vol. 31).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Monte Carlo Sampling of Protein Folding by Combining an All-Atom Physics-Based Model with a Native State Bias
Wang, Y., Tian, P., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2018, In: Journal of Physical Chemistry B. 122, 49, p. 11174-11185Research output: Contribution to journal › Journal article › Research › peer-review
ID: 40103911
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Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
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1468
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Potentials of mean force for protein structure prediction vindicated, formalized and generalized
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1446
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
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