Wouter Boomsma

Wouter Boomsma

Professor


  1. 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 journalJournal articleResearchpeer-review

  2. 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 journalJournal articleResearchpeer-review

  3. 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 journalJournal articleResearchpeer-review

  4. 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 journalJournal articleResearchpeer-review

  5. 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 proceedingArticle in proceedingsResearchpeer-review

  6. 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 journalJournal articleResearchpeer-review

  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 proceedingBook chapterResearchpeer-review

  8. Published

    Protein Structure: Probabilistic Modeling and Simulation

    Boomsma, Wouter, 2008, Department of Biology: Museum Tusculanum. 106 p.

    Research output: Book/ReportPh.D. thesisResearch

  9. 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

  10. 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 journalJournal articleResearchpeer-review

ID: 40103911