Wouter Boomsma

Wouter Boomsma

Professor

ORCID: 0000-0002-8257-3827

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  1. 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

  2. Published

    Rapid expansion of the protein disulfide isomerase gene family facilitates the folding of venom peptides

    Safavi, Helena, Li, Q., Jackson, R. L., Song, A. S., Boomsma, Wouter, Bandyopadhyay, P. K., Gruber, C. W., Purcell, A. W., Yandell, M., Olivera, B. M. & Ellgaard, Lars, 2016, In: Proceedings of the National Academy of Sciences of the United States of America. 113, 12, p. 3227-3232 6 p.

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

  3. Published

    Random coil chemical shifts for serine, threonine and tyrosine phosphorylation over a broad pH range

    Hendus-Altenburger, R., Fernandes, Catarina, Bugge, K., Kunze, M. B. A., Boomsma, Wouter & Kragelund, Birthe Brandt, 2019, In: Journal of Biomolecular NMR. 73, 12, p. 713–725 13 p.

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

  4. Published

    Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problem

    Hamelryck, Thomas Wim, Boomsma, Wouter, Ferkinghoff-Borg, J., Foldager, J. I., Frellsen, J., Haslett, J. & Theobald, D., 2015, Geometry driven statistics. Dryden, I. L. & Kent, J. T. (eds.). Wiley, p. 356-376 21 p.

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

  5. 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

  6. 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

  7. 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

  8. Published

    Probabilistic determination of native state ensembles of proteins

    Olsson, S., Vögeli, B. R., Cavalli, A., Boomsma, Wouter, Ferkinghoff-Borg, J., Lindorff-Larsen, Kresten & Hamelryck, Thomas Wim, 2014, In: Journal of Chemical Theory and Computation. 10, 8, p. 3484-3491 8 p.

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

  9. Published

    Potentials of mean force for protein structure prediction vindicated, formalized and generalized

    Hamelryck, Thomas Wim, Borg, M., Paluszewski, M., Paulsen, J., Frellsen, J., Andreetta, C., Boomsma, Wouter, Bottaro, S. & Ferkinghoff-Borg, J., 2010, In: PLoS ONE. 5, 11, 11 p., e13714.

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

  10. Published

    Phosphorylation of Schizosaccharomyces pombe Dss1 mediates direct binding to the ubiquitin-ligase Dma1 in vitro

    Jacobsen, Nina Louise, Bloch, Magnus Borup, Millard, P. S., Ruidiaz, Sarah Frederiksen, Elsborg, Jonas Damgaard, Boomsma, Wouter, Hendus-Altenburger, R., Hartmann-Petersen, Rasmus & Kragelund, Birthe Brandt, 2023, In: Protein Science. 32, 9, 16 p., e4733.

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

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ID: 40103911