Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor


  1. Published

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

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

    Research output: Contribution to conferencePosterResearch

  2. 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 journalJournal articleResearchpeer-review

  3. 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

  4. 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 journalJournal articleResearchpeer-review

  5. 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 proceedingArticle in proceedingsResearchpeer-review

  6. 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

  7. 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 proceedingArticle in proceedingsResearchpeer-review

  8. 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

  9. 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 journalJournal articleResearchpeer-review

  10. 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 journalJournal articleResearchpeer-review

ID: 5765