Thomas Wim Hamelryck

Thomas Wim Hamelryck

Professor

ORCID: 0000-0003-2917-3602

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  1. Published

    Probabilistic Programming for Voucher Information Extraction: Preliminary Practical Experiences

    Al-Sibahi, A. S., Hamelryck, Thomas Wim & Henglein, Fritz, 2018.

    Research output: Contribution to conference › Poster › Research

  2. Published

    Bayesian inference of protein ensembles from SAXS data

    Antonov, L. D., Olsson, S., Boomsma, Wouter & Hamelryck, Thomas Wim, 2016, In: Physical Chemistry Chemical Physics. 18, 8, p. 5832-5838 7 p.

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

  3. Published

    Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

    Antonov, L. D., Andreetta, C. & Hamelryck, Thomas Wim, 2013, Biomedical Engineering Systems and Technologies. Gabriel, J., Schier, J. & Huffel, S. V. (eds.). Springer Science+Business Media, Vol. 357. p. 222-235 14 p. (Communications in Computer and Information Science).

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

  4. Published

    Diverse bacterial genomes encode an operon of two genes, one of which is a unusual class-I release factor that potentially recognizes atypical mRNA signals other than normal stop codons

    Baranov, P., Vestergaard, Bente, Hamelryck, Thomas Wim, Gesteland, Nyborg, J. & Atking, J., 2006, In: Biology Direct. 13, p. 1-28 28 p.

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

  5. Published

    Full cyclic coordinate descent: solving the protein loop closure problem in Cα space

    Boomsma, Wouter & Hamelryck, Thomas Wim, 2005, In: BMC Bioinformatics. 6, 10 p., 159.

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

  6. Published

    Graphical models and directional statistics capture protein structure

    Boomsma, Wouter, Kent, J. T., Mardia, K. V., Taylor, C. C. & Hamelryck, Thomas Wim, 2006, Interdisciplinary Statistics and Bioinformatics. Barber, S., Baxter, P. D., Mardia, K. V. & Walls, R. E. (eds.). Leeds University Press, p. 91-94 4 p.

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

  7. Published

    Phaistos user manual

    Boomsma, Wouter, Bottaro, S., Hamelryck, Thomas Wim, Frellsen, J., Andreetta, C., Borg, M., Harder, T., Johansson, Kristoffer Enøe, Stovgaard, K. & Tian, P., 2013, 90 p.

    Research output: Book/Report › Book › Education

  8. Published

    PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structure

    Boomsma, Wouter, Frellsen, J., Harder, T. P., Bottaro, S., Johansson, Kristoffer Enøe, Tian, P., Stovgaard, K., Andreetta, C., Olsson, S., Valentin, J., Antonov, L. D., Christensen, A. S., Borg, M., Jensen, Jan Halborg, Lindorff-Larsen, Kresten, Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2013, In: Journal of Computational Chemistry. 34, 19, p. 1697-1705 9 p.

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

  9. Published

    A generative, probabilistic model of local protein structure

    Boomsma, Wouter, Mardia, K. V., Taylor, C. C., Ferkinghoff-Borg, J., Krogh, Anders & Hamelryck, Thomas Wim, 2008, In: Proceedings of the National Academy of Science of the United States of America. 105, 26, p. 8932-8937 5 p.

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

  10. Published

    Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts

    Boomsma, Wouter, Tian, P., Frellsen, J., Ferkinghoff-Borg, J., Hamelryck, Thomas Wim, Lindorff-Larsen, Kresten & Vendruscolo, M., 2014, In: Proceedings of the National Academy of Sciences of the United States of America. 111, 38, p. 13852-13857 6 p.

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

  11. 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

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

  13. 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 proceeding › Article in proceedings › Research › peer-review

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

  15. 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 proceeding › Conference abstract in proceedings › Research

  16. 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

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

  18. 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

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

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

  21. Accepted/In press

    Abstraction, mimesis and the evolution of deep learning

    Eklöf, Jon, Hamelryck, Thomas Wim, Last, C., Grima, A. & Snis, U. L., 2024, (Accepted/In press) In: AI and Society. 9 p.

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

  22. Published

    AI Implementation and Capability Development in Manufacturing: An Action Research Case

    Eklöf, Jon, Snis, U. L., Hamelryck, Thomas Wim, Grima, A. & Rønning, Ola, 2024, Proceedings of the 57th Hawaii International Conference on System Sciences - HICSS 2024. Hawaii International Conference on System Sciences, 10 p.

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

  23. Published

    Towards a general probabilistic model of protein structure: the reference ratio method

    Frellsen, J., Mardia, K. V., Borg, M., Ferkinghoff-Borg, J. & Hamelryck, Thomas Wim, 2012, Bayesian methods in structural bioinformatics. Hamelryck, T., Mardia, K. & Ferkinghoff-Borg, J. (eds.). Springer, p. 125-134 10 p. (Statistics for Biology and Health).

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

  24. Published

    Combining the multicanonical ensemble with generative probabilistic models of local biomolecular structure

    Frellsen, J., Hamelryck, Thomas Wim & Ferkinghoff-Borg, J., 2013, Proceedings of the 59th World Statistics Congress of the International Statistical Institute, 2013 . Hague, p. 139-144 6 p.

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

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

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