Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor


  1. 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

  2. Published

    On the Physical Relevance and Statistical Interpretation of Knowledge-Based Potentials

    Borg, M., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2012, Bayesian Methods in Structural Bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer Publishing Company, p. 97-124 28 p. (Statistics for Biology and Health, Springer).

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

  3. 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

  4. 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

  5. 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

  6. 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

  7. Published

    Bayesian inference of protein structure from chemical shift data

    Bratholm, L. A., Christensen, A. S., Hamelryck, Thomas Wim & Jensen, Jan Halborg, 2015, In: PeerJ. 3, 19 p., e861.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. 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 journalJournal articleResearchpeer-review

  9. Published

    FragBuilder: an efficient Python library to setup quantum chemistry calculations on peptides models

    Christensen, A. S., Hamelryck, Thomas Wim & Jensen, Jan Halborg, 2014, In: PeerJ. 2, e277.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. Published

    Biopython: freely available Python tools for computational molecular biology and bioinformatics

    Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, Thomas Wim, Kauff, F., Wilczynski, B. & de Hoon, M. J. L., 2009, In: Bioinformatics. 25, 11, p. 1422-3 1 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 5765