Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 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
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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
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Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
Bartels, S., Boomsma, Wouter, Frellsen, J. & Garreau, D., 2023, In: Journal of Machine Learning Research. 24, p. 1-57 71.Research output: Contribution to journal › Journal article › Research › peer-review
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Iterative ratio method: a formal justification for the potentials of mean force
Valentin, J., Andreetta, C., Paluszewski, M., Borg, M., Frellsen, J., Paulsen, J., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 1 p.Research output: Contribution to conference › Poster › Research
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
Olsson, S., Frellsen, J., Boomsma, Wouter, Mardia, K. V. & Hamelryck, Thomas Wim, 2013, In: PLoS ONE. 8, 11, 7 p., e79439.Research output: Contribution to journal › Journal article › Research › peer-review
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Implicit Variational Inference for High-Dimensional Posteriors
Uppal, A., Stensbo-Smidt, K., Boomsma, Wouter & Frellsen, J., 2023, Advances in Neural Information Processing Systems 36 pre-proceedings (NeurIPS 2023). NeurIPS Proceedings, 24 p. (Advances in Neural Information Processing Systems, Vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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Graphical models and directional statistics capture protein structure
Boomsma, Wouter, Kent, J. T., Mardia, K. V., Taylor, C. C. & Hamelryck, Thomas Wim, 2006, Interdisciplinary Statistics and Bioinformatics. Barber, S., Baxter, P. D., Mardia, K. V. & Walls, R. E. (eds.). Leeds University Press, p. 91-94 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Generative probabilistic models extend the scope of inferential structure determination
Olsson, S., Boomsma, Wouter, Frellsen, J., Bottaro, S., Harder, T. P., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011, In: Journal of Magnetic Resonance. 213, 1, p. 182-186 5 p.Research output: Contribution to journal › Letter › Research › peer-review
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Full cyclic coordinate descent: solving the protein loop closure problem in Cα space
Boomsma, Wouter & Hamelryck, Thomas Wim, 2005, In: BMC Bioinformatics. 6, 10 p., 159.Research output: Contribution to journal › Journal article › Research › peer-review
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Formulation of probabilistic models of protein structure in atomic detail using the reference ratio method
Valentin, J., Andreetta, C., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J., Frellsen, J., Mardia, K. V., Tian, P. & Hamelryck, Thomas Wim, 2014, In: Proteins: Structure, Function, and Bioinformatics. 82, 2, p. 288-299 12 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Fast phylogenetic DNA barcoding
Terkelsen, K. M., Boomsma, Wouter, Willerslev, Eske & Nielsen, Rasmus, 2008, In: Philosophical Transactions of the Royal Society of London. Biological Sciences. 363, 1512, p. 3997-4002 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts
Boomsma, Wouter, Tian, P., Frellsen, J., Ferkinghoff-Borg, J., Hamelryck, Thomas Wim, Lindorff-Larsen, Kresten & Vendruscolo, M., 2014, In: Proceedings of the National Academy of Sciences of the United States of America. 111, 38, p. 13852-13857 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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ENCORE: Software for Quantitative Ensemble Comparison
Tiberti, M., Papaleo, E., Bengtsen, T., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2015, In: PLoS Computational Biology. 11, 10, 16 p., e1004415.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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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
Conformational and aggregation properties of the 1-93 fragment of apolipoprotein A-I
Petrlova, J., Bhattacherjee, A., Boomsma, Wouter, Wallin, S., Lagerstedt, J. O. & Irbäck, A., 2014, In: Protein Science. 23, 11, p. 1559-1571 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Comparing molecular dynamics force fields in the essential subspace
Martin-García, F., Papaleo, E., Gomez-Puertas, P., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2015, In: PLoS ONE. 10, 3, 16 p., e0121114.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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Bioinformatics analysis identifies several intrinsically disordered human E3 ubiquitin-protein ligases
Boomsma, Wouter, Nielsen, S. V., Lindorff-Larsen, Kresten, Hartmann-Petersen, Rasmus & Ellgaard, Lars, 2016, In: PeerJ. 4, 18 p., e1725.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
Bayesian inference of protein ensembles from SAXS data
Antonov, L. D., Olsson, S., Boomsma, Wouter & Hamelryck, Thomas Wim, 2016, In: Physical Chemistry Chemical Physics. 18, 8, p. 5832-5838 7 p.Research 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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Potentials of mean force for protein structure prediction vindicated, formalized and generalized
Research output: Contribution to journal › Journal article › Research › peer-review
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1432
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
Research output: Contribution to journal › Journal article › Research › peer-review
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