Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
What does evolution tell us about the structure of a functional amyloid protein?
Tian, P., Boomsma, Wouter, Wang, Y., Otzen, D. E., Jensen, Mogens Høgh & Lindorff-Larsen, Kresten, 2015, In: Biophysical Journal. 108, 2, Supplement 1, p. 227a 1 p.Research output: Contribution to journal › Conference abstract in journal › 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
- 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
- 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
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
Structure of a functional amyloid protein subunit computed using sequence variation
Tian, P., Boomsma, Wouter, Wang, Y., Otzen, D., Jensen, Mogens Høgh & Lindorff-Larsen, Kresten, 2015, In: Journal of the American Chemical Society. 137, 1, p. 22–25 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Statistical assignment of DNA sequences using Bayesian phylogenetics
Terkelsen, K. M., Boomsma, Wouter, Huelsenbeck, J. P., Willerslev, Eske & Nielsen, Rasmus, 2008, In: Systematic Biology. 57, 5, p. 750-757 8 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
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
- Published
Robust estimation of diffusion-optimized ensembles for enhanced sampling
Tian, P., Jónsson, S. Æ., Ferkinghoff-Borg, J., Krivov, S. V. .., Lindorff-Larsen, Kresten, Irbäck, A. & Boomsma, Wouter, 2014, In: Journal of Chemical Theory and Computation. 10, 2, p. 543–553 11 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
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
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