Number of items: **18**.

## 2018

Klus, S. and Nüske, F. and Koltai, P. and Wu, H. and Kevrekidis, I. and Schütte, Ch. and Noé, F.
(2018)
*Data-driven model reduction and transfer operator approximation.*
Journal of Nonlinear Science, 28
(1).
pp. 1-26.

Koltai, Péter and Wu, H. and Noé, F. and Schütte, Ch.
(2018)
*Optimal data-driven estimation of generalized Markov state models for non-equilibrium dynamics.*
Computing
.
(Submitted)

Paul, F. and Noé, F. and Weikl, T.
(2018)
*Identifying Conformational-Selection and Induced-Fit Aspects in the Binding-Induced Folding of PMI from Markov State Modeling of Atomistic Simulations.*
J. Phys. Chem. B
.

## 2017

Paul, F. and Wehmeyer, C. and Abualrous, E. T. and Wu, H. and Crabtree, M. D. and Schöneberg, J. and Clarke, J. and Freund, C. and Weikl, T. and Noé, F.
(2017)
*Protein-peptide association kinetics beyond the seconds timescale from atomistic simulations.*
Nat. Comm., 8
(1095).

Gerber, S. and Horenko, I.
(2017)
*Toward a direct and scalable identification of reduced models for categorical processes.*
Proceedings of the National Academy of Sciences, 114
(19).
pp. 4863-4868.

Nüske, F. and Wu, H. and Wehmeyer, C. and Clementi, C. and Noé, F.
(2017)
*Markov State Models from short non-Equilibrium Simulations - Analysis and Correction of Estimation Bias.*
J. Chem. Phys., 146
.
094104.

Olsson, Simon and Wu, H. and Paul, F. and Clementi, C. and Noé, F.
(2017)
*Combining experimental and simulation data of molecular processes via augmented Markov models.*
Proc. Natl. Acad. Sci. USA, 114
.
pp. 8265-8270.

Wu, H. and Noé, F.
(2017)
*Variational approach for learning Markov processes from time series data.*
https://arxiv.org/abs/1707.04659
.

## 2016

Wu, H. and Paul, F. and Wehmeyer, C. and Noé, F.
(2016)
*Multiensemble Markov models of molecular thermodynamics and kinetics.*
Proceedings of the National Academy of Sciences, 113
(23).
E3221-E3230 .
ISSN 0027-8424

Nüske, F. and Schneider, R. and Vitalini, F. and Noé, F.
(2016)
*Variational Tensor Approach for Approximating the Rare-Event Kinetics of Macromolecular Systems.*
J. Chem. Phys., 144
(5).
054105.

Paul, F. and Weikl, T.
(2016)
*How to Distinguish Conformational Selection and Induced Fit Based on Chemical Relaxation Rates.*
PLOS Computational Biology
.

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.

## 2015

Trendelkamp-Schroer, B. and Wu, H. and Paul, F. and Noé, F.
(2015)
*Estimation and uncertainty of reversible Markov models.*
J. Chem. Phys., 143
(17).
p. 174101.

Scherer, M. K. and Trendelkamp-Schroer, B. and Paul, F. and Pérez-Hernández, G. and Hoffmann, M. and Plattner, N. and Wehmeyer, C. and Prinz, J.-H. and Noé, F.
(2015)
*PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models.*
J. Chem. Theory Comput., 11
(11).
pp. 5525-5542.

Wu, H. and Prinz, J.-H. and Noé, F.
(2015)
*Projected Metastable Markov Processes and Their Estimation with Observable Operator Models.*
J. Chem. Phys., 143
(14).
p. 144101.

Wu, H. and Noé, F.
(2015)
*Gaussian Markov transition models of molecular kinetics.*
J. Chem. Phys., 142
(8).
084104.

## 2014

Wu, H. and Mey, A.S.J.S. and Rosta, E. and Noé, F.
(2014)
*Statistically optimal analysis of state-discretized trajectory data from multiple thermodynamic states.*
J. Chem. Phys., 141
(21).
p. 214106.

Mey, A.S.J.S. and Wu, H. and Noé, F.
(2014)
*xTRAM: Estimating equilibrium expectations from time-correlated simulation data at multiple thermodynamic states.*
Phys. Rev. X, 4
(4).
041018.

This list was generated on **Fri May 25 12:57:28 2018 CEST**.