Wouter Boomsma

Wouter Boomsma

Professor

ORCID: 0000-0002-8257-3827

Publication year:
All
1 - 10 out of 49Page size: 10
Sort by: 1st author
  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

    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

  8. 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

  9. 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

  10. 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

Previous 1 2 3 4 5 Next

ID: 40103911