Wouter Boomsma

Wouter Boomsma

Professor


  1. Published

    Rapid expansion of the protein disulfide isomerase gene family facilitates the folding of venom peptides

    Safavi, Helena, Li, Q., Jackson, R. L., Song, A. S., Boomsma, Wouter, Bandyopadhyay, P. K., Gruber, C. W., Purcell, A. W., Yandell, M., Olivera, B. M. & Ellgaard, Lars, 2016, In: Proceedings of the National Academy of Sciences of the United States of America. 113, 12, p. 3227-3232 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Rapid protein stability prediction using deep learning representations

    Blaabjerg, Lasse Møller, Kassem, M. M., Good, L. L., Jonsson, Nicolas, Cagiada, Matteo, Johansson, Kristoffer Enøe, Boomsma, Wouter, Stein, Amelie & Lindorff-Larsen, Kresten, 2023, In: eLife. 12, 19 p., e82593.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Robust estimation of diffusion-optimized ensembles for enhanced sampling

    Tian, P., Jónsson, S. Æ., Ferkinghoff-Borg, J., Krivov, S. V. .., Lindorff-Larsen, Kresten, Irbäck, A. & Boomsma, Wouter, 2014, In: Journal of Chemical Theory and Computation. 10, 2, p. 543–553 11 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion

    Pinholt, H. D., Bohr, S. S. R., Iversen, J. F., Boomsma, Wouter & Hatzakis, Nikos, 2021, In: Proceedings of the National Academy of Sciences of the United States of America. 118, 31, 7 p., e2104624118.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Spherical convolutions and their application in molecular modelling

    Boomsma, Wouter & Frellsen, J., 2017, Neural Information Processing Systems 2017. Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). NIPS Proceedings, 11 p. (Advances in Neural Information Processing Systems, Vol. 30).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. Published

    Statistical assignment of DNA sequences using Bayesian phylogenetics

    Terkelsen, K. M., Boomsma, Wouter, Huelsenbeck, J. P., Willerslev, Eske & Nielsen, Rasmus, 2008, In: Systematic Biology. 57, 5, p. 750-757 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Structure of a functional amyloid protein subunit computed using sequence variation

    Tian, P., Boomsma, Wouter, Wang, Y., Otzen, D., Jensen, Mogens Høgh & Lindorff-Larsen, Kresten, 2015, In: Journal of the American Chemical Society. 137, 1, p. 22–25 4 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Structure of the bacterial cytoskeleton protein bactofilin by NMR chemical shifts and sequence variation

    Kassem, M. M., Wang, Y., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2016, In: Biophysical Journal. 110, 11, p. 2342-2348 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-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 journalJournal articleResearchpeer-review

  10. Published

    The PCNA interaction motifs revisited: thinking outside the PIP-box

    Prestel, Andreas, Wichmann, N., Martins, J. M., Marabini, R., Kassem, N., Broendum, S. S., Otterlei, M., Nielsen, Olaf, Willemoës, Martin, Ploug, Michael, Boomsma, Wouter & Kragelund, Birthe Brandt, 2019, In: Cellular and Molecular Life Sciences. 76, 24, p. 4923-4943

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 40103911