| Markov models of molecular kinetics: Generation and validation JH Prinz, H Wu, M Sarich, B Keller, M Senne, M Held, JD Chodera, ... The Journal of chemical physics 134 (17), 2011 | 1325 | 2011 |
| PyEMMA 2: A software package for estimation, validation, and analysis of Markov models MK Scherer, B Trendelkamp-Schroer, F Paul, G Pérez-Hernández, ... Journal of chemical theory and computation 11 (11), 5525-5542, 2015 | 1068 | 2015 |
| Projected and hidden Markov models for calculating kinetics and metastable states of complex molecules F Noé, H Wu, JH Prinz, N Plattner The Journal of chemical physics 139 (18), 2013 | 185 | 2013 |
| Probing molecular kinetics with Markov models: metastable states, transition pathways and spectroscopic observables JH Prinz, B Keller, F Noé Physical Chemistry Chemical Physics 13 (38), 16912-16927, 2011 | 129 | 2011 |
| Markov state models from short non-equilibrium simulations—Analysis and correction of estimation bias F Nüske, H Wu, JH Prinz, C Wehmeyer, C Clementi, F Noé The Journal of Chemical Physics 146 (9), 2017 | 86 | 2017 |
| Mechanisms of protein-ligand association and its modulation by protein mutations M Held, P Metzner, JH Prinz, F Noé Biophysical journal 100 (3), 701-710, 2011 | 84 | 2011 |
| Dynamical reweighting: Improved estimates of dynamical properties from simulations at multiple temperatures JD Chodera, WC Swope, F Noé, JH Prinz, MR Shirts, VS Pande The Journal of chemical physics 134 (24), 2011 | 80 | 2011 |
| OpenPathSampling: A Python framework for path sampling simulations. 1. Basics DWH Swenson, JH Prinz, F Noe, JD Chodera, PG Bolhuis Journal of chemical theory and computation 15 (2), 813-836, 2018 | 75* | 2018 |
| Markov models and dynamical fingerprints: Unraveling the complexity of molecular kinetics BG Keller, JH Prinz, F Noé Chemical Physics 396, 92-107, 2012 | 69 | 2012 |
| Optimal use of data in parallel tempering simulations for the construction of discrete-state Markov models of biomolecular dynamics JH Prinz, JD Chodera, VS Pande, WC Swope, JC Smith, F Noé The Journal of chemical physics 134 (24), 2011 | 66 | 2011 |
| Efficient computation, sensitivity, and error analysis of committor probabilities for complex dynamical processes JH Prinz, M Held, JC Smith, F Noé Multiscale Modeling & Simulation 9 (2), 545-567, 2011 | 41 | 2011 |
| Spectral rate theory for two-state kinetics JH Prinz, JD Chodera, F Noé Physical Review X 4 (1), 011020, 2014 | 34 | 2014 |
| Projected metastable Markov processes and their estimation with observable operator models H Wu, JH Prinz, F Noé The Journal of chemical physics 143 (14), 2015 | 28 | 2015 |
| Dynamic neutron scattering from conformational dynamics. I. Theory and Markov models B Lindner, Z Yi, JH Prinz, JC Smith, F Noé The Journal of Chemical Physics 139 (17), 2013 | 28 | 2013 |
| Dynamic neutron scattering from conformational dynamics. II. Application using molecular dynamics simulation and Markov modeling Z Yi, B Lindner, JH Prinz, F Noé, JC Smith The Journal of Chemical Physics 139 (17), 2013 | 15 | 2013 |
| Markov model theory M Sarich, JH Prinz, C Schütte An introduction to Markov state models and their application to long …, 2014 | 13 | 2014 |
| A robust approach to estimating rates from time-correlation functions JD Chodera, PJ Elms, WC Swope, JH Prinz, S Marqusee, C Bustamante, ... arXiv preprint arXiv:1108.2304, 2011 | 12 | 2011 |
| Estimation and validation of Markov models JH Prinz, JD Chodera, F Noé An Introduction to Markov State Models and Their Application to Long …, 2014 | 6 | 2014 |
| Analysis of Markov models F Noé, JH Prinz An Introduction to Markov State Models and Their Application to Long …, 2014 | 5 | 2014 |
| Advanced estimation methods for Markov models of dynamical systems JH Prinz | 2 | 2013 |
Noe FrankMicrosoft ResearchVerified email at microsoft.com
