Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 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
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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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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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Rapid protein stability prediction using deep learning representations
Blaabjerg, Lasse Møller, Kassem, M. M., Good, L. L., Jonsson, Nicolas, Cagiada, Matteo, Johansson, Kristoffer Enøe, Boomsma, Wouter, Stein, Amelie & Lindorff-Larsen, Kresten, 2023, In: eLife. 12, 19 p., e82593.Research output: Contribution to journal › Journal article › 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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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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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
Using adaptive operator scheduling on problem domains with an operator manifold: applications to the travelling salesman problem
Boomsma, Wouter, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC'03. IEEE, p. 1274-1279 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
- Published
Phaistos user manual
Boomsma, Wouter, Bottaro, S., Hamelryck, Thomas Wim, Frellsen, J., Andreetta, C., Borg, M., Harder, T., Johansson, Kristoffer Enøe, Stovgaard, K. & Tian, P., 2013, 90 p.Research output: Book/Report › Book › Education
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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
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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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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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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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
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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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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
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Protein Structure: Probabilistic Modeling and Simulation
Boomsma, Wouter, 2008, Department of Biology: Museum Tusculanum. 106 p.Research output: Book/Report › Ph.D. thesis › Research
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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
- 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
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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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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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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
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
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
ID: 40103911
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Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
Research output: Contribution to journal › Journal article › Research › peer-review
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Potentials of mean force for protein structure prediction vindicated, formalized and generalized
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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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