Wouter Boomsma

Wouter Boomsma

Professor

ORCID: 0000-0002-8257-3827

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  1. Multiple sequence alignment using SAGA: investigating the effects of operator scheduling, population seeding, and crossover operators

    Thomsen, R. & Boomsma, Wouter, 2004, Applications of Evolutionary Computing: EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004. Proceedings. Raidl, G. R. (ed.). Springer, p. 113-122 10 p. (Lecture notes in computer science, Vol. 3005).

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

  2. 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

  3. 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

  4. 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

  5. Published

    A Monte Carlo study of the early steps of functional amyloid formation

    Tian, P., Lindorff-Larsen, Kresten, Boomsma, Wouter, Jensen, Mogens Høgh & Otzen, D. E., 2016, In: P L o S One. 11, 1, 18 p., e0146096.

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

  6. Published

    ENCORE: Software for Quantitative Ensemble Comparison

    Tiberti, M., Papaleo, E., Bengtsen, T., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2015, In: PLoS Computational Biology. 11, 10, 16 p., e1004415.

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

  7. Published

    Implicit Variational Inference for High-Dimensional Posteriors

    Uppal, A., Stensbo-Smidt, K., Boomsma, Wouter & Frellsen, J., 2023, Advances in Neural Information Processing Systems 36 pre-proceedings (NeurIPS 2023). NeurIPS Proceedings, 24 p. (Advances in Neural Information Processing Systems, Vol. 36).

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

  8. Published

    Iterative ratio method: a formal justification for the potentials of mean force

    Valentin, J., Andreetta, C., Paluszewski, M., Borg, M., Frellsen, J., Paulsen, J., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 1 p.

    Research output: Contribution to conference › Poster › Research

  9. Published

    Formulation of probabilistic models of protein structure in atomic detail using the reference ratio method

    Valentin, J., Andreetta, C., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J., Frellsen, J., Mardia, K. V., Tian, P. & Hamelryck, Thomas Wim, 2014, In: Proteins: Structure, Function, and Bioinformatics. 82, 2, p. 288-299 12 p.

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

  10. Published

    Monte Carlo Sampling of Protein Folding by Combining an All-Atom Physics-Based Model with a Native State Bias

    Wang, Y., Tian, P., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2018, In: Journal of Physical Chemistry B. 122, 49, p. 11174-11185

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

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