Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
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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
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A Monte Carlo study of the early steps of functional amyloid formation
Tian, P., Lindorff-Larsen, Kresten, Boomsma, Wouter, Jensen, Mogens Høgh & Otzen, D. E., 2016, In: P L o S One. 11, 1, 18 p., e0146096.Research output: Contribution to journal › Journal article › Research › peer-review
A comparison of adaptive operator scheduling methods on the traveling salesman problem
Boomsma, Wouter, 2004, Evolutionary Computation in Combinatorial Optimization: 4th European Conference, EvoCOP 2004, Coimbra, Portugal, April 5-7, 2004. Proceedings. Gottlieb, J. & Raidl, G. R. (eds.). Springer, p. 31-40 10 p. (Lecture notes in computer science, Vol. 3004).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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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
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A generative, probabilistic model of local protein structure
Boomsma, Wouter, Mardia, K. V., Taylor, C. C., Ferkinghoff-Borg, J., Krogh, Anders & Hamelryck, Thomas Wim, 2008, In: Proceedings of the National Academy of Science of the United States of America. 105, 26, p. 8932-8937 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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A sticky cage can slow down folding
Boomsma, Wouter & Lindorff-Larsen, Kresten, 2013, In: Biophysical Journal. 104, 5, p. 964-965 2 p.Research output: Contribution to journal › Comment/debate › Research
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Adaptive Cholesky Gaussian Processes
Bartels, S., Stensbo-Smidt, K., Moreno-Muñoz, P., Boomsma, Wouter, Frellsen, J. & Hauberg, S., 2023, In: Proceedings of Machine Learning Research. 206, p. 408--452 44 p.Research output: Contribution to journal › Conference article › Research › peer-review
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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
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Ancient biomolecules from deep ice cores reveal a forested southern Greenland.
Willerslev, E., Cappellini, E., Boomsma, W. K., Nielsen, R., Hebsgaard, M. B., Brand, T. B., Hofreiter, M., Bunce, M., Poinar, H. N., Dahl-Jensen, D., Johnsen, S. J., Steffensen, J. P., Bennike, O., Schwenninger, J-L., Nathan, R., Armitage, S., de Hoog, C-J., Alfimov, V., Christl, M., Beer, J. & 10 others, , 2007, In: Science. 317, 5834, p. 111-114 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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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
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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
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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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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
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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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
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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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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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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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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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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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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
ID: 40103911
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Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
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Potentials of mean force for protein structure prediction vindicated, formalized and generalized
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