Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 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
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
Structure of the bacterial cytoskeleton protein bactofilin by NMR chemical shifts and sequence variation
Kassem, M. M., Wang, Y., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2016, In: Biophysical Journal. 110, 11, p. 2342-2348 7 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components
Kampmeyer, Caroline, Grønbæk-Thygesen, Martin, Oelerich, N., Tatham, M. H., Cagiada, Matteo, Lindorff-Larsen, K., Boomsma, Wouter, Hofmann, K. & Hartmann-Petersen, Rasmus, 2023, In: Cellular and Molecular Life Sciences. 80, 6, 18 p., 143.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Phosphorylation of Schizosaccharomyces pombe Dss1 mediates direct binding to the ubiquitin-ligase Dma1 in vitro
Jacobsen, Nina Louise, Bloch, Magnus Borup, Millard, P. S., Ruidiaz, Sarah Frederiksen, Elsborg, Jonas Damgaard, Boomsma, Wouter, Hendus-Altenburger, R., Hartmann-Petersen, Rasmus & Kragelund, Birthe Brandt, 2023, In: Protein Science. 32, 9, 16 p., e4733.Research 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
An efficient null model for conformational fluctuations in proteins
Harder, T. P., Bottaro, S., Boomsma, Wouter, Olsson, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2012, In: Structure. 20, 6, p. 1028-1039 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Fast large-scale clustering of protein structures using Gauss integrals
Harder, T. P., Borg, M., Boomsma, Wouter, Røgen, P. & Hamelryck, Thomas Wim, 2012, In: Bioinformatics. 28, 4, p. 510-515 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Beyond rotamers: a generative, probabilistic model of side chains in proteins
Harder, T., Boomsma, Wouter, Paluszewski, M., Frellsen, J., Johansson, Kristoffer Enøe & Hamelryck, Thomas Wim, 1 Jan 2010, In: B M C Bioinformatics. 11, p. 306Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problem
Hamelryck, Thomas Wim, Boomsma, Wouter, Ferkinghoff-Borg, J., Foldager, J. I., Frellsen, J., Haslett, J. & Theobald, D., 2015, Geometry driven statistics. Dryden, I. L. & Kent, J. T. (eds.). Wiley, p. 356-376 21 p.Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Potentials of mean force for protein structure prediction vindicated, formalized and generalized
Hamelryck, Thomas Wim, Borg, M., Paluszewski, M., Paulsen, J., Frellsen, J., Andreetta, C., Boomsma, Wouter, Bottaro, S. & Ferkinghoff-Borg, J., 2010, In: PLoS ONE. 5, 11, 11 p., e13714.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
A context-dependent and disordered ubiquitin-binding motif
Dreier, Jesper Elmsted, Prestel, Andreas, Martins, J. M., Brøndum, S. S., Nielsen, Olaf, Garbers, Anna Engstrøm, Suga, H., Boomsma, Wouter, Rogers, Joseph Matthew, Hartmann-Petersen, Rasmus & Kragelund, Birthe Brandt, 2022, In: Cellular and molecular life sciences : CMLS. 79, 9, 21 p., 484.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Learning meaningful representations of protein sequences
Detlefsen, N. S., Hauberg, S. & Boomsma, Wouter, 2022, In: Nature Communications. 13, 1, p. 1-12 1914.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
Christensen, A. S., Linnet, T. E., Borg, M., Boomsma, Wouter, Lindorff-Larsen, Kresten, Hamelryck, Thomas Wim & Jensen, Jan Halborg, 2013, In: PLoS ONE. 8, 12, 10 p., e84123.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Efficient, non-disruptive local moves for Monte Carlo sampling of proteins
Bottaro, S., Boomsma, Wouter, Johansson, Kristoffer Enøe, Andreetta, C., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2011, Next Generation Statistics in Biosciences: Proceedings of the 30th Leeds Annual Statistical Research (LASR) Workshop. Mardia, K. V., Gusnanto, A., Riley, A. D. & Voss, J. (eds.). University of Leeds, p. 127 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research
- 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
Subtle Monte Carlo updates in dense molecular systems
Bottaro, S., Boomsma, Wouter, Johansson, Kristoffer Enøe, Andreetta, C., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2012, In: Journal of Chemical Theory and Computation. 8, 2, p. 695-702 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
A probabilistic approach to protein structure prediction: PHAISTOS in CASP8
Borg, M., Boomsma, Wouter, Ferkinghoff-Borg, J., Frellsen, J., Harder, T. P., Mardia, K., Røgen, P., Stovgaard, K. & Hamelryck, Thomas Wim, 2009, LASR 2009 — Statistical Tools for Challenges in Bioinformatics. Proceedings. Gusnanto, A., Mardia, K. V. & Fallaize, C. J. (eds.). University of Leeds, p. 65-70 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
A probabilistic approach to protein structureprediction: PHAISTOS in CASP8
Borg, M., Boomsma, Wouter, Ferkinghoff-Borg, J., Frellsen, J., Harder, T. P., Mardia, K. V., Røgen, P., Stovgaard, K. & Hamelryck, Thomas Wim, 2009, In: School of Mathematics. p. 65-70Research output: Contribution to journal › Journal article › Research › peer-review
- Published
PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structure
Boomsma, Wouter, Frellsen, J., Harder, T. P., Bottaro, S., Johansson, Kristoffer Enøe, Tian, P., Stovgaard, K., Andreetta, C., Olsson, S., Valentin, J., Antonov, L. D., Christensen, A. S., Borg, M., Jensen, Jan Halborg, Lindorff-Larsen, Kresten, Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2013, In: Journal of Computational Chemistry. 34, 19, p. 1697-1705 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Spherical convolutions and their application in molecular modelling
Boomsma, Wouter & Frellsen, J., 2017, Neural Information Processing Systems 2017. Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). NIPS Proceedings, 11 p. (Advances in Neural Information Processing Systems, Vol. 30).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Combining experiments and simulations using the maximum entropy principle
Boomsma, Wouter, Ferkinghoff-Borg, J. & Lindorff-Larsen, Kresten, 2014, In: PLoS Computational Biology. 10, 2, 9 p., e1003406.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Probabilistic models of local biomolecular structure and their applications
Boomsma, Wouter, Frellsen, J. & Hamelryck, Thomas Wim, 2012, Bayesian methods in structural bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 233-254 22 p. (Statistics for Biology and Health, Springer).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
- Published
Protein Structure: Probabilistic Modeling and Simulation
Boomsma, Wouter, 2008, Department of Biology: Museum Tusculanum. 106 p.Research output: Book/Report › Ph.D. thesis › Research
ID: 40103911
Most downloads
-
2308
downloads
Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1432
downloads
Inference of structure ensembles of flexible biomolecules from sparse, averaged data
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1429
downloads
Potentials of mean force for protein structure prediction vindicated, formalized and generalized
Research output: Contribution to journal › Journal article › Research › peer-review
Published