Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor


  1. 2011
  2. 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

  3. 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

  4. 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

  5. 2010
  6. 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

  7. Published

    Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models

    Stovgaard, K., Andreetta, C., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 1 Jan 2010, In: B M C Bioinformatics. 11, p. 429

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Mocapy++ - a toolkit for inference and learning in dynamic Bayesian networks

    Paluszewski, M. & Hamelryck, Thomas Wim, 2010, In: BMC Bioinformatics. 11, Suppl 1, 6 p., 126.

    Research output: Contribution to journalJournal articleResearchpeer-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 journalJournal articleResearchpeer-review

  10. 2009
  11. 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

  12. 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

  13. Published

    A probabilistic model of RNA conformational space

    Frellsen, J., Moltke, Ida, Thiim, M., Mardia, K. V., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2009, In: PLoS Computational Biology. 5, 6, p. e1000406

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 5765