Simon Olsson
Cited by
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Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
F Noé*, S Olsson*, J Köhler*, H Wu
Science 365 (6457), eaaw1147, 2019
Machine learning of coarse-grained molecular dynamics force fields
J Wang, S Olsson, C Wehmeyer, A Perez, N Charron, G De Fabritiis, ...
ACS Cent. Sci. 5 (5), 755-767, 2019
Camostat mesylate inhibits SARS-CoV-2 activation by TMPRSS2-related proteases and its metabolite GBPA exerts antiviral activity
M Hoffmann, H Hofmann-Winkler, JC Smith, N Krüger, P Arora, ...
EBioMedicine 65, 103255, 2021
Combining experimental and simulation data of molecular processes via augmented Markov models
S Olsson, H Wu, F Paul, C Clementi, F Noé
Proceedings of the National Academy of Sciences 114 (31), 8265-8270, 2017
Inference of structure ensembles of flexible biomolecules from sparse, averaged data
S Olsson, J Frellsen, W Boomsma, KV Mardia, T Hamelryck
PloS one 8 (11), e79439, 2013
Molecular mechanism of inhibiting the SARS-CoV-2 cell entry facilitator TMPRSS2 with camostat and nafamostat
T Hempel, L Raich, S Olsson, NP Azouz, AM Klingler, M Hoffmann, ...
Chemical Science 12 (3), 983-992, 2021
Probabilistic Determination of Native State Ensembles of Proteins.
S Olsson, BR Vögeli, A Cavalli, W Boomsma, J Ferkinghoff-Borg, ...
Journal of Chemical Theory and Computation, 2014
PHAISTOS: A framework for Markov chain Monte Carlo simulation and inference of protein structure
W Boomsma, J Frellsen, T Harder, S Bottaro, KE Johansson, P Tian, ...
Journal of computational chemistry 34 (19), 1697-1705, 2013
Coarse graining molecular dynamics with graph neural networks
BE Husic, NE Charron, D Lemm, J Wang, A Pérez, M Majewski, A Krämer, ...
The Journal of chemical physics 153 (19), 194101, 2020
Bayesian inference of protein ensembles from SAXS data
LD Antonov, S Olsson, W Boomsma, T Hamelryck
Physical Chemistry Chemical Physics 18 (8), 5832-5838, 2016
The exact NOE as an alternative in ensemble structure determination
B Vögeli, S Olsson, P Güntert, R Riek
Biophysical journal 110 (1), 113-126, 2016
Mechanistic models of chemical exchange induced relaxation in protein NMR
S Olsson, F Noé
Journal of the American Chemical Society 139 (1), 200-210, 2017
Generative probabilistic models extend the scope of inferential structure determination
S Olsson, W Boomsma, J Frellsen, S Bottaro, T Harder, J Ferkinghoff-Borg, ...
Journal of Magnetic Resonance 213 (1), 182-186, 2011
Molecular dynamics of biomolecules through direct analysis of dipolar couplings
S Olsson, D Ekonomiuk, J Sgrignani, A Cavalli
Journal of the American Chemical Society 137 (19), 6270-6278, 2015
Dynamic graphical models of molecular kinetics
S Olsson, F Noé
Proceedings of the National Academy of Sciences 116 (30), 15001-15006, 2019
The dynamic basis for signal propagation in human Pin1-WW
S Olsson, D Strotz, B Vögeli, R Riek, A Cavalli
Structure 24 (9), 1464-1475, 2016
Complementarity and congruence between exact NOEs and traditional NMR probes for spatial decoding of protein dynamics
B Vögeli, S Olsson, R Riek, P Güntert
Journal of Structural Biology 191 (3), 306-317, 2015
Molecular determinants for unphosphorylated STAT3 dimerization determined by integrative modeling
J Sgrignani, S Olsson, D Ekonomiuk, D Genini, R Krause, CV Catapano, ...
Biochemistry 54 (35), 5489-5501, 2015
The exact nuclear overhauser enhancement: recent advances
PJ Nichols, A Born, MA Henen, D Strotz, J Orts, S Olsson, P Güntert, ...
Molecules 22 (7), 1176, 2017
Discovery of a hidden transient state in all bromodomain families
L Raich, K Meier, J Günther, CD Christ, F Noé, S Olsson
Proceedings of the National Academy of Sciences 118 (4), 2021
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Articles 1–20