Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor

ORCID: 0000-0003-2917-3602

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  1. Published

    An evolutionary method for learning HMM structure: prediction of protein secondary structure.

    Won, K., Hamelryck, Thomas Wim, Prügel-Bennett, A. & Krogh, Anders, 2007, In: BMC Bioinformatics. 8, p. 357

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

  2. Published

    Evolving hidden Markov models for protein secondary structure prediction

    Won, K. J., Hamelryck, Thomas Wim, Prügel-Bennett, A. & Krogh, Anders, 2005, The 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005: Proceedings. IEEE, Vol. 3. p. 33-40 8 p.

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

  3. Published

    Bioinformatic and experimental analysis of the secondary structure of amelogenin

    Vilhjalmsson, B., Rasmussen, Anne, Fabi, B., van de Weert, Marco, Hamelryck, Thomas Wim & Lemoult, S., 1 Nov 2007, In: European Cells and Materials. 14, SUPPL.2, 1 p.

    Research output: Contribution to journal › Journal article › Research › peer-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 conference › Poster › Research

  5. Published

    Formulation of probabilistic models of protein structure in atomic detail using the reference ratio method

    Valentin, J., Andreetta, C., Boomsma, Wouter, Bottaro, S., Ferkinghoff-Borg, J., Frellsen, J., Mardia, K. V., Tian, P. & Hamelryck, Thomas Wim, 2014, In: Proteins: Structure, Function, and Bioinformatics. 82, 2, p. 288-299 12 p.

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

  6. Published

    Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model

    Thygesen, Christian Bahne, Al-Sibahi, A. S., Steenmanns, C. S., Sanz Moreta, Lys, Sørensen, A. B. & Hamelryck, Thomas Wim, 2021, International Conference on Machine Learning, 18-24 July 2021, Virtual. PMLR, p. 10258-10267 (Proceedings of Machine Learning Research, Vol. 139).

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

  8. 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

  9. Published

    MyPMFs: a simple tool for creating statistical potentials to assess protein structural models

    Postic, G., Hamelryck, Thomas Wim, Chomilier, J. & Stratmann, D., 2018, In: Biochimie. 151, p. 37-41 5 p.

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

  10. 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

  11. 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

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

  13. Published

    A community proposal to integrate structural bioinformatics activities in ELIXIR (3D-Bioinfo Community) [version 1; peer review: 1 approved, 3 approved with reservations]

    Orengo, C., Velankar, S., Wodak, S., Zoete, V., Bonvin, A. M. J. J., Elofsson, A., Feenstra, K. A., Gerloff, D. L., Hamelryck, T., Hancock, J. M., Helmer-Citterich, M., Hospital, A., Orozco, M., Perrakis, A., Rarey, M., Soares, C., Sussman, J. L., Thornton, J. M., Tuffery, P., Tusnady, G. & 3 others, Wierenga, R., Salminen, T. & Schneider, B., 2020, In: F1000Research. 9, 27 p., 278.

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

  14. 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

  15. Published

    Inference of structure ensembles of flexible biomolecules from sparse, averaged data

    Olsson, S., Frellsen, J., Boomsma, Wouter, Mardia, K. V. & Hamelryck, Thomas Wim, 2013, In: PLoS ONE. 8, 11, 7 p., e79439.

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

  16. 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 journal › Letter › Research › peer-review

  17. Published

    A Probabilistic Programming Approach to Protein Structure Superposition

    Sanz Moreta, Lys, Al-Sibahi, A. S., Theobald, D., Bullock, W., Rommes, B. N., Manoukian, Andreas & Hamelryck, Thomas Wim, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019. Baruzzo, G., Daberdaku, S., Di Camillo, B., Furini, S., Giordano, E. D. & Nicosia, G. (eds.). IEEE, 5 p. 8791469

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

  18. Published

    Bayesian protein superposition using Hamiltonian Monte Carlo

    Sanz Moreta, Lys, Al-Sibahi, A. S. & Hamelryck, Thomas Wim, Oct 2020, Proceedings - IEEE 20th International Conference on Bioinformatics and Bioengineering, BIBE 2020. IEEE, p. 1-11 9288019

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

  19. Published

    Mixture Models for Spherical Data with Applications to Protein Bioinformatics

    Mardia, K. V., Barber, S., Burdett, P. M., Kent, J. T. & Hamelryck, Thomas Wim, 2022, Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale. Springer, p. 15-32 (Forum for Interdisciplinary Mathematics).

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

  20. Published

    Mixtures of concentrated multivariate sine distributions with applications to bioinformatics

    Mardia, K. V., Kent, J. T., Zhang, Z., Taylor, C. C. & Hamelryck, Thomas Wim, 2012, In: Journal of Applied Statistics. 39, 11, p. 2475-2492 18 p.

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

  21. Published

    A statistical view on the reference ratio method

    Mardia, K., Frellsen, J., Borg, M., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2011. 6 p.

    Research output: Contribution to conference › Paper › Research

  22. Published

    A simple probabilistic model of multibody interactions in proteins

    Johansson, Kristoffer Enøe & Hamelryck, Thomas Wim, 2013, In: Proteins: Structure, Function, and Bioinformatics. 81, 8, p. 1340-1350 11 p.

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

  23. Published

    Computational redesign of thioredoxin is hypersensitive towards minor conformational changes in the backbone template

    Johansson, Kristoffer Enøe, Johansen, Nicolai Tidemand, Christensen, S., Horowitz, S., Bardwell, J. C. A., Olsen, Johan Gotthardt, Willemoës, Martin, Lindorff-Larsen, Kresten, Ferkinghoff-Borg, J., Hamelryck, Thomas Wim & Winther, Jakob R., 2016, In: Journal of Molecular Biology. 428, 21, p. 4361-4377 17 p.

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

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

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

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