Articles with public access mandates - Noe FrankLearn more
Not available anywhere: 5
Review
Spatiotemporal control of endocytosis by phosphatidylinositol-3, 4-bisphosphate
Y Posor, M Eichhorn-Gruenig, D Puchkov, J Schöneberg, A Ullrich, ...
Nature 499 (7457), 233-237, 2013
Mandates: German Research Foundation
Review
Complete protein–protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling
N Plattner, S Doerr, G De Fabritiis, F Noé
Nature chemistry 9 (10), 1005-1011, 2017
Mandates: German Research Foundation, European Commission, Government of Spain
Review
Shedding light on the Dock–Lock mechanism in amyloid fibril growth using Markov State Models
M Schor, ASJS Mey, F Noe, CE MacPhee
The journal of physical chemistry letters 6 (6), 1076-1081, 2015
Mandates: German Research Foundation, UK Biotechnology and Biological Sciences …
Review
Identifying conformational-selection and induced-fit aspects in the binding-induced folding of PMI from Markov state modeling of atomistic simulations
F Paul, F Noe, TR Weikl
The Journal of Physical Chemistry B 122 (21), 5649-5656, 2018
Mandates: German Research Foundation
Review
Thermodynamics and kinetics of aggregation of flexible peripheral membrane proteins
M Sadeghi, F Noe
The Journal of Physical Chemistry Letters 12 (43), 10497-10504, 2021
Mandates: German Research Foundation, European Commission
Available somewhere: 193
Review
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, 174105, 2011
Mandates: German Research Foundation
Review
Major histocompatibility complex (MHC) class I and MHC class II proteins: conformational plasticity in antigen presentation
M Wieczorek, ET Abualrous, J Sticht, M Álvaro-Benito, S Stolzenberg, ...
Frontiers in immunology 8, 292, 2017
Mandates: German Research Foundation
Review
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
Mandates: German Research Foundation, European Commission
Review
Identification of slow molecular order parameters for Markov model construction
G Pérez-Hernández, F Paul, T Giorgino, G De Fabritiis, F Noé
The Journal of chemical physics 139 (1), 2013
Mandates: German Research Foundation, Government of Spain
Review
Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations
F Noé, C Schütte, E Vanden-Eijnden, L Reich, TR Weikl
Proceedings of the National Academy of Sciences 106 (45), 19011, 2009
Mandates: German Research Foundation
Review
Markov state models of biomolecular conformational dynamics
JD Chodera, F Noé
Current opinion in structural biology 25, 135-144, 2014
Mandates: US National Institutes of Health, European Commission
Review
Machine learning for molecular simulation
F Noé, A Tkatchenko, KR Müller, C Clementi
Annual review of physical chemistry 71 (1), 361-390, 2020
Mandates: US National Science Foundation, German Research Foundation, European …
Review
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
F Noé, S Olsson, J Köhler, H Wu
Science 365 (6457), eaaw1147, 2019
Mandates: German Research Foundation, European Commission
Review
VAMPnets for deep learning of molecular kinetics
A Mardt, L Pasquali, H Wu, F Noé
Nature communications 9 (1), 5, 2018
Mandates: German Research Foundation, European Commission
Review
Deep-neural-network solution of the electronic Schrödinger equation
J Hermann, Z Schätzle, F Noé
Nature Chemistry 12 (10), 891-897, 2020
Mandates: German Research Foundation, European Commission
Review
Hierarchical analysis of conformational dynamics in biomolecules: Transition networks of metastable states
F Noé, I Horenko, C Schütte, JC Smith
The Journal of chemical physics 126, 155102, 2007
Mandates: German Research Foundation
Review
Machine learning of coarse-grained molecular dynamics force fields
J Wang, S Olsson, C Wehmeyer, A Pérez, NE Charron, G De Fabritiis, ...
ACS central science 5 (5), 755-767, 2019
Mandates: US National Science Foundation, German Research Foundation, European …
Review
Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations
R Winter, F Montanari, F Noé, DA Clevert
Chemical science 10 (6), 1692-1701, 2019
Mandates: European Commission
Review
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C Wehmeyer, F Noé
The Journal of chemical physics 148 (24), 2018
Mandates: German Research Foundation, European Commission
Review
Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models
N Plattner, F Noé
Nature communications 6 (1), 7653, 2015
Mandates: German Research Foundation, European Commission
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