Wouter Boomsma

Wouter Boomsma

Professor


  1. 2012
  2. Published

    An efficient null model for conformational fluctuations in proteins

    Harder, T. P., Bottaro, S., Boomsma, Wouter, Olsson, S., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2012, In: Structure. 20, 6, p. 1028-1039 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Fast large-scale clustering of protein structures using Gauss integrals

    Harder, T. P., Borg, M., Boomsma, Wouter, Røgen, P. & Hamelryck, Thomas Wim, 2012, In: Bioinformatics. 28, 4, p. 510-515 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. 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 proceedingBook chapterResearchpeer-review

  5. 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 journalJournal articleResearchpeer-review

  6. 2011
  7. 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 proceedingConference abstract in proceedingsResearch

  8. Published

    Generative probabilistic models extend the scope of inferential structure determination

    Olsson, S., Boomsma, Wouter, Frellsen, J., Bottaro, S., Harder, T. P., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011, In: Journal of Magnetic Resonance. 213, 1, p. 182-186 5 p.

    Research output: Contribution to journalLetterResearchpeer-review

  9. 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 conferencePosterResearch

  10. 2010
  11. Published

    Beyond rotamers: a generative, probabilistic model of side chains in proteins

    Harder, T., Boomsma, Wouter, Paluszewski, M., Frellsen, J., Johansson, Kristoffer Enøe & Hamelryck, Thomas Wim, 1 Jan 2010, In: B M C Bioinformatics. 11, p. 306

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. 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 journalJournal articleResearchpeer-review

  13. 2009
  14. 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 proceedingArticle in proceedingsResearchpeer-review

ID: 40103911