| Year |
Citation |
Score |
| 2022 |
Hempel T, Olsson S, Noé F. Markov field models: Scaling molecular kinetics approaches to large molecular machines. Current Opinion in Structural Biology. 77: 102458. PMID 36162297 DOI: 10.1016/j.sbi.2022.102458 |
0.322 |
|
| 2021 |
Raich L, Meier K, Günther J, Christ CD, Noé F, Olsson S. Discovery of a hidden transient state in all bromodomain families. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 33468647 DOI: 10.1073/pnas.2017427118 |
0.313 |
|
| 2020 |
Strotz D, Orts J, Kadavath H, Friedmann M, Ghosh D, Olsson S, Chi C, Pokharna A, Güntert P, Vögeli B, Riek R. Protein allostery at atomic resolution. Angewandte Chemie (International Ed. in English). PMID 32797659 DOI: 10.1002/Ange.202008734 |
0.375 |
|
| 2019 |
Noé F, Olsson S, Köhler J, Wu H. Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning. Science (New York, N.Y.). 365. PMID 31488660 DOI: 10.1126/Science.Aaw1147 |
0.409 |
|
| 2019 |
Olsson S, Noé F. Dynamic graphical models of molecular kinetics. Proceedings of the National Academy of Sciences of the United States of America. PMID 31285323 DOI: 10.1073/Pnas.1901692116 |
0.406 |
|
| 2019 |
Wang J, Olsson S, Wehmeyer C, Pérez A, Charron NE, de Fabritiis G, Noé F, Clementi C. Machine Learning of Coarse-Grained Molecular Dynamics Force Fields. Acs Central Science. 5: 755-767. PMID 31139712 DOI: 10.1021/Acscentsci.8B00913 |
0.363 |
|
| 2018 |
Gerber S, Olsson S, Noé F, Horenko I. A scalable approach to the computation of invariant measures for high-dimensional Markovian systems. Scientific Reports. 8: 1796. PMID 29379123 DOI: 10.1038/S41598-018-19863-4 |
0.411 |
|
| 2017 |
Olsson S, Wu H, Paul F, Clementi C, Noé F. Combining experimental and simulation data of molecular processes via augmented Markov models. Proceedings of the National Academy of Sciences of the United States of America. PMID 28716931 DOI: 10.1073/Pnas.1704803114 |
0.462 |
|
| 2017 |
Nichols PJ, Born A, Henen MA, Strotz D, Orts J, Olsson S, Güntert P, Chi CN, Vögeli B. The Exact Nuclear Overhauser Enhancement: Recent Advances. Molecules (Basel, Switzerland). 22. PMID 28708092 DOI: 10.3390/Molecules22071176 |
0.487 |
|
| 2016 |
Olsson S, Noé F. Mechanistic models of chemical exchange induced relaxation in protein NMR. Journal of the American Chemical Society. PMID 27958728 DOI: 10.1021/Jacs.6B09460 |
0.515 |
|
| 2016 |
Olsson S, Strotz D, Vögeli B, Riek R, Cavalli A. The Dynamic Basis for Signal Propagation in Human Pin1-WW. Structure (London, England : 1993). PMID 27499442 DOI: 10.1016/J.Str.2016.06.013 |
0.45 |
|
| 2016 |
Vögeli B, Olsson S, Güntert P, Riek R. The Exact NOE as an Alternative in Ensemble Structure Determination. Biophysical Journal. 110: 113-126. PMID 26745415 DOI: 10.1016/J.Bpj.2015.11.031 |
0.559 |
|
| 2015 |
Olsson S, Cavalli A. Quantification of Entropy-Loss in Replica-Averaged Modeling. Journal of Chemical Theory and Computation. 11: 3973-7. PMID 26575893 DOI: 10.1021/Acs.Jctc.5B00579 |
0.369 |
|
| 2015 |
Antonov LD, Olsson S, Boomsma W, Hamelryck T. Bayesian inference of protein ensembles from SAXS data. Physical Chemistry Chemical Physics : Pccp. PMID 26548662 DOI: 10.1039/C5Cp04886A |
0.703 |
|
| 2015 |
Vögeli B, Olsson S, Riek R, Güntert P. Compiled data set of exact NOE distance limits, residual dipolar couplings and scalar couplings for the protein GB3. Data in Brief. 5: 99-106. PMID 26504890 DOI: 10.1016/J.Dib.2015.08.020 |
0.494 |
|
| 2015 |
Sgrignani J, Olsson S, Ekonomiuk D, Genini D, Krause R, Catapano CV, Cavalli A. Molecular Determinants for Unphosphorylated STAT3 Dimerization Determined by Integrative Modeling. Biochemistry. 54: 5489-501. PMID 26283080 DOI: 10.1021/Bi501529X |
0.425 |
|
| 2015 |
Vögeli B, Olsson S, Riek R, Güntert P. Complementarity and congruence between exact NOEs and traditional NMR probes for spatial decoding of protein dynamics. Journal of Structural Biology. 191: 306-17. PMID 26206511 DOI: 10.1016/J.Jsb.2015.07.008 |
0.503 |
|
| 2015 |
Olsson S, Ekonomiuk D, Sgrignani J, Cavalli A. Molecular Dynamics of Biomolecules through Direct Analysis of Dipolar Couplings. Journal of the American Chemical Society. 137: 6270-8. PMID 25895902 DOI: 10.1021/Jacs.5B01289 |
0.477 |
|
| 2014 |
Olsson S, Vögeli BR, Cavalli A, Boomsma W, Ferkinghoff-Borg J, Lindorff-Larsen K, Hamelryck T. Probabilistic Determination of Native State Ensembles of Proteins. Journal of Chemical Theory and Computation. 10: 3484-91. PMID 26588313 DOI: 10.1021/Ct5001236 |
0.666 |
|
| 2013 |
Olsson S, Frellsen J, Boomsma W, Mardia KV, Hamelryck T. Inference of structure ensembles of flexible biomolecules from sparse, averaged data. Plos One. 8: e79439. PMID 24244505 DOI: 10.1371/Journal.Pone.0079439 |
0.677 |
|
| 2013 |
Boomsma W, Frellsen J, Harder T, Bottaro S, Johansson KE, Tian P, Stovgaard K, Andreetta C, Olsson S, Valentin JB, Antonov LD, Christensen AS, Borg M, Jensen JH, Lindorff-Larsen K, et al. PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structure. Journal of Computational Chemistry. 34: 1697-705. PMID 23619610 DOI: 10.1002/Jcc.23292 |
0.67 |
|
| 2012 |
Harder T, Borg M, Bottaro S, Boomsma W, Olsson S, Ferkinghoff-Borg J, Hamelryck T. An efficient null model for conformational fluctuations in proteins. Structure (London, England : 1993). 20: 1028-39. PMID 22578545 DOI: 10.1016/J.Str.2012.03.020 |
0.686 |
|
| 2011 |
Olsson S, Boomsma W, Frellsen J, Bottaro S, Harder T, Ferkinghoff-Borg J, Hamelryck T. Generative probabilistic models extend the scope of inferential structure determination. Journal of Magnetic Resonance (San Diego, Calif. : 1997). 213: 182-6. PMID 21993764 DOI: 10.1016/J.Jmr.2011.08.039 |
0.683 |
|
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