| Dynamical coring of Markov state models D Nagel, A Weber, B Lickert, G Stock The Journal of chemical physics 150 (9), 2019 | 30 | 2019 |
| Correlation-based feature selection to identify functional dynamics in proteins G Diez, D Nagel, G Stock Journal of Chemical Theory and Computation 18 (8), 5079–5088, 2022 | 21 | 2022 |
| MSMPathfinder: Identification of pathways in Markov state models D Nagel, A Weber, G Stock Journal of Chemical Theory and Computation 16 (12), 7874-7882, 2020 | 19 | 2020 |
| Toward a benchmark for Markov state models: The folding of HP35 D Nagel, S Sartore, G Stock The Journal of Physical Chemistry Letters 14 (31), 6956-6967, 2023 | 8 | 2023 |
| Selecting Features for Markov Modeling: A Case Study on HP35 D Nagel, S Sartore, G Stock Journal of Chemical Theory and Computation 19 (11), 3391-3405, 2023 | 6 | 2023 |
| msmhelper: A Python package for Markov state modeling of protein dynamics D Nagel, G Stock Journal of Open Source Software 8 (85), 5339, 2023 | 2 | 2023 |
| Importance of Feature Selection for Markov State Models: A Case Study on HP35 S Sartore, D Nagel, G Stock | | |
