Wouter Boomsma
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
ORCID: 0000-0002-8257-3827
61 - 63 out of 63Page size: 10
- 2023
- Published
Lysine deserts prevent adventitious ubiquitylation of ubiquitin-proteasome components
Kampmeyer, Caroline, Grønbæk-Thygesen, Martin, Oelerich, N., Tatham, M. H., Cagiada, Matteo, Lindorff-Larsen, K., Boomsma, Wouter, Hofmann, K. & Hartmann-Petersen, Rasmus, 2023, In: Cellular and Molecular Life Sciences. 80, 6, 18 p., 143.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
- 2024
- Published
A systematic analysis of regression models for protein engineering
Michael, Richard, Kæstel-Hansen, Jacob, Groth, Peter Mørch, Bartels, S., Salomon, J., Tian, P., Hatzakis, Nikos & Boomsma, Wouter, 2024, In: PLOS Computational Biology. 20, 5 May, 22 p., e1012061.Research 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
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1429
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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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