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Article

Kieninger, S. and Keller, B. (2021) Path probability ratios for Langevin dynamics—Exact and approximate. The Journal of Chemical Physics, 154 . pp. 1-21.

Witek, J. and Wang, S. and Schroeder, B. and Lingwood, R. and Dounas, A. and Roth, H.-J. and Fouché, M. and Blatter, M. and Lemke, O. and Keller, B. and Riniker, S. (2019) Rationalization of the Membrane Permeability Differences in a Series of Analogue Cyclic Decapeptides. J. Chem. Inf. Model., 59 (1). pp. 294-308. ISSN 1549-9596, ESSN: 1549-960X

Donati, L. and Heida, M. and Weber, M. and Keller, B. (2018) Estimation of the infinitesimal generator by square-root approximation. Journal of Physics: Condensed Matter, 30 (42). p. 425201. ISSN 0953-8984, ESSN: 1361-648X

Donati, L. and Keller, B. (2018) Girsanov reweighting for metadynamics simulations. Journal of Chemical Physics, 149 (7). 072335. ISSN 0021-9606

Hassan, I. and Donati, L. and Stensitzki, T. and Keller, B. and Heyne, K. and Imhof, P. (2018) The Vibrational Spectrum of the hydrated Alanine-Leucine Peptide in the Amide region from IR experiments and First Principles Calculation. Chem. Phys. Lett. . pp. 1-26. ISSN 0009-2614

Vitalini, F. and Noé, F. and Keller, B. (2016) Molecular dynamics simulations data of the twenty encoded amino acids in different force fields. Data in Brief, 7 . pp. 582-590.

Vitalini, F. and Mey, A.S.J.S. and Noé, F. and Keller, B. (2015) Dynamic Properties of Force Fields. J. Chem. Phys., 142 . 084101.

Vitalini, F. and Noé, F. and Keller, B. (2015) A basis set for peptides for the variational approach to conformational kinetics. J. Chem. Theory Comput., 11 . pp. 3992-4004.

Keller, B. and Kobitski, A. and Jäschke, A. and Nienhaus, G.U. and Noé, F. (2014) Complex RNA folding kinetics revealed by single molecule FRET and hidden Markov models. J. Am. Chem. Soc., 136 . pp. 4534-4543.

Nüske, F. and Keller, B. and Pérez-Hernández, G. and Mey, A.S.J.S. and Noé, F. (2014) Variational Approach to Molecular Kinetics. J. Chem. Theory Comput., 10 . pp. 1739-1752.

Keller, B. and Prinz, J.-H. and Noé, F. (2012) Markov models and dynamical fingerprints: unraveling the complexity of molecular kinetics. Chem. Phys., 396 . pp. 92-107.

Held, M. and Imhof, P. and Keller, B. and Noé, F. (2012) Modulation of a ligand’s energy landscape and kinetics by the chemical environment. J. Phys. Chem. B, 116 . pp. 13597-13607.

Keller, B. and Prinz, J.-H. and Noé, F. (2012) Resolving the apparent gap in complexity between simulated and measured kinetics of biomolecules. From Computational Biophysics to Systems Biology (CBSB11) Proceedings, IAS Series, 8 . pp. 61-64.

Prinz, J.-H. and Wu, H. and Sarich, M. and Keller, B. and Senne, M. and Held, M. and Chodera, J. D. and Schütte, Ch. and Noé, F. (2011) Markov models of molecular kinetics: Generation and Validation. J. Chem. Phys., 134 . p. 174105.

Keller, B. and Hünenberger, Philippe and van Gunsteren, Wilfred (2011) An Analysis of the Validity of Markov State Models for Emulating the Dynamics of Classical Molecular Systems and Ensembles. J. Chem. Theo. Comput., 7 . pp. 1032-1044.

Prinz, J.-H. and Keller, B. and Noé, F. (2011) Probing molecular kinetics with Markov models: Metastable states, transition pathways and spectroscopic observables. Phys. Chem. Chem. Phys., 13 . pp. 16912-16927.

Keller, B. and Gattin, Z. and van Gunsteren, W. F. (2010) What stabilizes the 3_14-helix in beta^3-peptides? A conformational analysis using molecular simulation. PROTEINS: Structure, Function, and Bioinformatics, 78 (7). pp. 1677-1690.

Xavier , D. and Keller, B. and van Gunsteren, W. F. (2010) Comparing geometric and kinetic cluster algorithms for molecular simulation data. J. Chem. Phys., 132 (7). 074110.

Christen, M. and Keller, B. and van Gunsteren, W. F. (2007) Local elevation on the dihedral angles to improve the J-values. Journal of Biomolecular NMR, 39 . pp. 265-273.

Keller, B. and Christen, M. and Oostenbrink, C. and van Gunsteren, W. F. (2007) On using oscillating time-dependent restraints in MD simulation. Journal Of Biomolecular NMR, 37 . pp. 1-14.

Thesis

Keller, B. (2009) Algorithms for the Analysis of Biomolecular Simulations: Ensemble Averages, Marginal Distributions, Clustering and Markov Models. PhD thesis, ETH Zürich.