Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor

ORCID: 0000-0003-2917-3602

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  1. Published

    Probabilistic determination of native state ensembles of proteins

    Olsson, S., Vögeli, B. R., Cavalli, A., Boomsma, Wouter, Ferkinghoff-Borg, J., Lindorff-Larsen, Kresten & Hamelryck, Thomas Wim, 2014, In: Journal of Chemical Theory and Computation. 10, 8, p. 3484-3491 8 p.

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

  2. Published

    Probabilistic models and machine learning in structural bioinformatics

    Hamelryck, Thomas Wim, 2009, In: Statistical Methods in Medical Research. 18, 5, p. 505-26 21 p.

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

  3. 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 proceeding › Book chapter › Research › peer-review

  4. Published

    Protein structure prediction using tabu search and half-sphere exposure measure

    Paluszewski, M., Hamelryck, Thomas Wim & Winter, Pawel, 2006.

    Research output: Contribution to conference › Poster › Research

  5. 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 journal › Journal article › Research › peer-review

  6. Published

    Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problem

    Hamelryck, Thomas Wim, Boomsma, Wouter, Ferkinghoff-Borg, J., Foldager, J. I., Frellsen, J., Haslett, J. & Theobald, D., 2015, Geometry driven statistics. Dryden, I. L. & Kent, J. T. (eds.). Wiley, p. 356-376 21 p.

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

  7. Published

    Reconstructing protein structure from solvent exposure using tabu search

    Paluszewski, M., Hamelryck, Thomas Wim & Winter, Pawel, 2006, In: Algorithms for Molecular Biology. 1, p. 14

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

  8. Published

    Sampling Realistic Protein Conformations Using Local Structural Bias

    Hamelryck, Thomas Wim, Kent, J. T. & Krogh, Anders, 2006, In: PLoS ONE. 2, 9, p. e131

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

  9. 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 journal › Journal article › Research › peer-review

  10. Published

    Time-efficient Bayesian Inference for a (Skewed) von Mises Distribution on the Torus in a Deep Probabilistic Programming Language

    Rønning, Ola, Ley, C., Mardia, K. V. & Hamelryck, Thomas Wim, 2021, 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). IEEE, p. 1-8

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

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