Wouter Boomsma

Wouter Boomsma

Professor

ORCID: 0000-0002-8257-3827

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  1. 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

  2. Published

    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

  3. Published

    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

  4. Published

    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

  5. Published

    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

  6. Published

    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

  7. Published

    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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Published

    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

  14. Published

    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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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. 65-70

    Research output: Contribution to journal › Journal article › Research › peer-review

  21. 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

  22. 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. 219-231

    Research output: Contribution to journal › Journal article › Research › peer-review

  23. 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

  24. 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

  25. 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

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