Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- Published
Ancient biomolecules from deep ice cores reveal a forested southern Greenland.
Willerslev, E., Cappellini, E., Boomsma, W. K., Nielsen, R., Hebsgaard, M. B., Brand, T. B., Hofreiter, M., Bunce, M., Poinar, H. N., Dahl-Jensen, D., Johnsen, S. J., Steffensen, J. P., Bennike, O., Schwenninger, J-L., Nathan, R., Armitage, S., de Hoog, C-J., Alfimov, V., Christl, M., Beer, J. & 10 others, , 2007, In: Science. 317, 5834, p. 111-114 4 p.Research output: Contribution to journal › Journal article › Research › peer-review
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3D steerable CNNs: Learning rotationally equivariant features in volumetric data
Weiler, M., Geiger, M., Welling, M., Boomsma, Wouter & Cohen, T., 2018, Proceedings of the 32nd International Conference on Neural Information Processing Systems. derc ed. NIPS Proceedings, Vol. 2018. p. 10381-10392 12 p. (Advances in Neural Information Processing Systems, Vol. 31).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Monte Carlo Sampling of Protein Folding by Combining an All-Atom Physics-Based Model with a Native State Bias
Wang, Yong, Tian, P., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2018, In: Journal of Physical Chemistry B. 122, 49, p. 11174-11185Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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Implicit Variational Inference for High-Dimensional Posteriors
Uppal, A., Stensbo-Smidt, K., Boomsma, Wouter & Frellsen, J., 2023, Advances in Neural Information Processing Systems 36 pre-proceedings (NeurIPS 2023). NeurIPS Proceedings, 24 p. (Advances in Neural Information Processing Systems, Vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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ENCORE: Software for Quantitative Ensemble Comparison
Tiberti, M., Papaleo, E., Bengtsen, T., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2015, In: PLoS Computational Biology. 11, 10, 16 p., e1004415.Research output: Contribution to journal › Journal article › Research › peer-review
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What does evolution tell us about the structure of a functional amyloid protein?
Tian, P., Boomsma, Wouter, Wang, Y., Otzen, D. E., Jensen, Mogens Høgh & Lindorff-Larsen, Kresten, 2015, In: Biophysical Journal. 108, 2, Supplement 1, p. 227a 1 p.Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
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Structure of a functional amyloid protein subunit computed using sequence variation
Tian, P., Boomsma, Wouter, Wang, Yong, 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 journal › Journal article › Research › peer-review
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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 journal › Journal article › Research › peer-review
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A Monte Carlo study of the early steps of functional amyloid formation
Tian, P., Lindorff-Larsen, Kresten, Boomsma, Wouter, Jensen, Mogens Høgh & Otzen, D. E., 2016, In: P L o S One. 11, 1, 18 p., e0146096.Research output: Contribution to journal › Journal article › Research › peer-review
Multiple sequence alignment using SAGA: investigating the effects of operator scheduling, population seeding, and crossover operators
Thomsen, R. & Boomsma, Wouter, 2004, Applications of Evolutionary Computing: EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004. Proceedings. Raidl, G. R. (ed.). Springer, p. 113-122 10 p. (Lecture notes in computer science, Vol. 3005).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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 journal › Journal article › Research › peer-review
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Fast phylogenetic DNA barcoding
Terkelsen, K. M., Boomsma, Wouter, Willerslev, Eske & Nielsen, Rasmus, 2008, In: Philosophical Transactions of the Royal Society of London. Biological Sciences. 363, 1512, p. 3997-4002 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Orchestration of signaling by structural disorder in class 1 cytokine receptors
Seiffert, P., Bugge, K., Nygaard, M., Haxholm, G. W., Martinsen, J. H., Pedersen, M. N., Arleth, Lise, Boomsma, Wouter & Kragelund, Birthe Brandt, 24 Aug 2020, In: Cell Communication and Signaling. 18, 1, 30 p., 132.Research output: Contribution to journal › Journal article › Research › peer-review
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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 journal › Journal article › Research › peer-review
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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. 4923-4943Research output: Contribution to journal › Journal article › Research › peer-review
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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 journal › Journal article › Research › peer-review
Conformational and aggregation properties of the 1-93 fragment of apolipoprotein A-I
Petrlova, J., Bhattacherjee, A., Boomsma, Wouter, Wallin, S., Lagerstedt, J. O. & Irbäck, A., 2014, In: Protein Science. 23, 11, p. 1559-1571 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
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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
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IDDomainSpotter: Compositional bias reveals domains in long disordered protein regions—Insights from transcription factors
Millard, P. S., Bugge, K., Marabini, R., Boomsma, Wouter, Burow, Meike & Kragelund, Birthe Brandt, 2020, In: Protein Science. 29, 1, p. 169-183 15 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Comparing molecular dynamics force fields in the essential subspace
Martin-García, F., Papaleo, E., Gomez-Puertas, P., Boomsma, Wouter & Lindorff-Larsen, Kresten, 2015, In: PLoS ONE. 10, 3, 16 p., e0121114.Research output: Contribution to journal › Journal article › Research › peer-review
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Driving Structural Transitions in Molecular Simulations Using the Nonequilibrium Candidate Monte Carlo
Kurut, A., Fonseca, R. & Boomsma, Wouter, 25 Jan 2018, In: Journal of Physical Chemistry Part B: Condensed Matter, Materials, Surfaces, Interfaces & Biophysical. 122, 3, p. 1195-1204Research output: Contribution to journal › Journal article › Research › peer-review
ID: 40103911
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Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanics
Research output: Contribution to journal › Journal article › Research › peer-review
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1431
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Inference of structure ensembles of flexible biomolecules from sparse, averaged data
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
1429
downloads
Potentials of mean force for protein structure prediction vindicated, formalized and generalized
Research output: Contribution to journal › Journal article › Research › peer-review
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