Browse by Projects

A

Albrecht, D. and Winterflood, C. M. and Sadeghi, M. and Tschager, T. and Noé, F. and Ewers, H. (2016) Nanoscopic compartmentalization of membrane protein motion at the axon initial segment. J. Cell Biol., 215 (1). pp. 37-46.

B

Bryant, Patrick and Noé, Frank (2024) Improved Protein Complex Prediction with AlphaFold-Multimer by Denoising the MSA Profile. PLOS Computational Biology, 20 (7).

Bryant, Patrick and Kelkar, Atharva and Guljas, Andrea and Clementi, Cecilia and Noé, Frank (2024) Structure prediction of protein-ligand complexes from sequence information with Umol. Nature Communications, 15 .

Bogdanow, Boris and Gruska, Iris and Mühlberg, Lars and Protze, Jonas and Hohensee, Svea and Vetter, Barbara and Bosse, Jens B. and Lehmann, Martin and Sadeghi, Mohsen and Wiebusch, Lüder and Liu, Fan (2023) Spatially resolved protein map of intact human cytomegalovirus virions. Nature Microbiology, 8 . pp. 1732-1747.

Boltz, Horst-Holger and Sirbu, Alexei and Stelzer, Nina and de Lanerolle, Primal and Winkelmann, Stefanie and Annibale, Paolo (2022) The impact of membrane protein diffusion on GPCR signaling. Cells, 11 (10).

D

Dyhr, Michael C. A. and Sadeghi, Mohsen and Moynova, Ralista and Knappe, Carolin and Burcu Kepsutlu, Çakmak and Werner, Stephan and Schneider, Gerd and McNally, James and Noé, Frank and Ewers, Helge (2023) 3D surface reconstruction of cellular cryo-soft X-ray microscopy tomograms using semisupervised deep learning. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 120 (24).

del Razo, M.J. and Winkelmann, S. and Klein, R. and Höfling, F. (2023) Chemical diffusion master equation: formulations of reaction–diffusion processes on the molecular level. J. Math. Phys., 64 (013304).

Dibak, Manuel and Klein, Leon and Krämer, Andreas and Noé, Frank (2022) Temperature steerable flows and Boltzmann generators. Physical Review Research, 4 (4).

del Razo, Mauricio J. and Frömberg, Daniela and Straube, Arthur V. and Schütte, Christof and Höfling, Felix and Winkelmann, Stefanie (2022) A probabilistic framework for particle-based reaction–diffusion dynamics using classical Fock space representations. Letters in Mathematical Physics, 112 (49).

del Razo, Mauricio J. and Dibak, Manuel and Schütte, Christof and Noé, Frank (2021) Multiscale molecular kinetics by coupling Markov state models and reaction-diffusion dynamics. The Journal of Chemical Physics, 155 (12).

Dibak, Manuel and Fröhner, Christoph and Noé, Frank and Höfling, Felix (2019) Diffusion-influenced reaction rates in the presence of pair interactions. The Journal of Chemical Physics, 151 (16).

del Razo, M.J. and Qian, H. and Noé, F. (2018) Grand canonical diffusion-influenced reactions: a stochastic theory with applications to multiscale reaction-diffusion simulations. J. Chem. Phys., 149 (4). 044102. ISSN 0021-9606, ESSN: 1089-7690

Dibak, M. and del Razo, M.J. and De Sancho, D. and Schütte, Ch. and Noé, F. (2018) MSM/RD: Coupling Markov state models of molecular kinetics with reaction-diffusion simulations. Journal of Chemical Physics, 148 (214107). ISSN 0021-9606

E

Ernst, Ariane and Falkenhagen, Undine and Winkelmann, Stefanie (2023) Model reduction for Ca²+ -induced vesicle fusion dynamics. Proceedings in Applied Mathematics and Mechanics, 23 (4).

Ernst, Ariane and Unger, Nathalie and Schütte, Christof and Walter, Alexander M. and Winkelmann, Stefanie (2023) Rate-limiting recovery processes in neurotransmission under sustained stimulation. Mathematical Biosciences, 362 . p. 109023.

Engel, Maximilian and Olicon-Mendez, Guillermo and Unger, Nathalie and Winkelmann, Stefanie (2022) Synchronization and random attractors for reaction jump processes. in Press . pp. 1-39. (In Press)

Ernst, Ariane and Schütte, Christof and Sigrist, Stephan J. and Winkelmann, Stefanie (2022) Variance of filtered signals: Characterization for linear reaction networks and application to neurotransmission dynamics. Mathematical Biosciences, 343 .

F

Frömberg, Daniela and Höfling, Felix (2021) Generalized master equation for first-passage problems in partitioned spaces. Journal of Physics A: Mathematical and Theoretical, 54 (21). pp. 1-29.

Fröhner, Chr. and Noé, F. (2018) Reversible interacting-particle reaction dynamics. J. Phys. Chem. B, 122 (49). pp. 11240-11250.

G

Galama, Maaike M. and Wu, Hao and Krämer, Andreas and Sadeghi, Mohsen and Noé, Frank (0001) Stochastic Approximation to MBAR and TRAM: Batchwise Free Energy Estimation. Journal of Chemical Theory and Computation (JCTC), 19 (3). pp. 758-766.

H

Hempel, Tim and Elez, Katarina and Krüger, Nadine and Raich, Lluís and Shrimp, Jonathan H. and Danov, Olga and Jonigk, Danny and Braun, Arnim and Shen, Min and Hall, Matthew D. and Pöhlmann, Stefan and Hoffmann, Markus and Noé, Frank (2021) Synergistic inhibition of SARS-CoV-2 cell entry by otamixaban and covalent protease inhibitors: pre-clinical assessment of pharmacological and molecular properties. Chemical Science, 12 (38). pp. 12600-12609.

Helfmann, L. and Djurdjevac Conrad, N. and Djurdjevac, A. and Winkelmann, S. and Schütte, Ch. (2021) From interacting agents to density-based modeling with stochastic PDEs. Commun. Appl. Math. Comput. Sci., 16 (1). pp. 1-32. ISSN Online: 2157-5452; Print: 1559-3940

Husic, Brooke E. and Charron, Nicholas E. and Lemm, Dominik and Wang, Jiang and Pérez, Adrià and Majewski, Maciej and Krämer, Andreas and Chen, Yaoyi and Olsson, Simon and de Fabritiis, Gianni and Noé, Frank and Clementi, Cecilia (2020) Coarse graining molecular dynamics with graph neural networks. J. Chem. Phys., 153 (194101). pp. 1-17.

Hoffmann, M. and Fröhner, Chr. and Noé, F. (2019) ReaDDy 2: Fast and flexible software framework for interacting-particle reaction dynamics. PLoS Computational Biology, 15 (2). e1006830. ISSN 1553-7358

Hoffmann, M. and Fröhner, Chr. and Noé, F. (2019) Reactive SINDy: Discovering governing reactions from concentration data. J. Chem. Phys., 150 (2). 025101. ISSN 0021-9606, ESSN: 1089-7690

K

Kostré, Margarita and Schütte, Christof and Noé, Frank and del Razo, Mauricio J. (2021) Coupling Particle-Based Reaction-Diffusion Simulations with Reservoirs Mediated by Reaction-Diffusion PDEs. Sociaty for Industrial and Applied Mathematics, 19 (4).

M

Montefusco, Alberto and Helfmann, Luzie and Okunola, Toluwani and Winkelmann, Stefanie and Schütte, Christof (2024) Partial mean-field model for neurotransmission dynamics. Mathematical Biosciences, 369 .

Montefusco, Alberto and Schütte, Christof and Winkelmann, Stefanie (2023) A route to the hydrodynamic limit of a reaction-diffusion master equation using gradient structures. Society for Industrial and Applied Mathematic (siam), 83 (2). pp. 836-861.

Mardt, Andreas and Hempel, Tim and Clementi, Cecilia and Noé, Frank (2022) Deep learning to decompose macromolecules into independent Markovian domains. nature communications, 13 .

N

Niemann, Jan-Hendrik and Winkelmann, Stefanie and Wolf, S. and Schütte, Christof (2021) Agent-based modeling: Population limits and large timescales. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (3).

Noé, Frank and Klein, Leon Transferable Boltzmann Generators. Preprint arXiv . (Unpublished)

O

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.

P

Paul, F. and Wu, H. and Vossel, M. and de Groot, B.L. and Noé, F. (2019) Identification of kinetic order parameters for non-equilibrium dynamics. J. Chem. Phys., 150 (16). p. 164120. ISSN 0021-9606, ESSN: 1089-7690

Pinamonti, G. and Paul, F. and Noé, F. and Rodriguez, A. and Bussi, G. (2019) The mechanism of RNA base fraying: Molecular dynamics simulations analyzed with core-set Markov state models. J. Chem. Phys., 150 (15). p. 154123. ISSN 0021-9606, ESSN: 1089-7690

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).

Pinamonti, G. and Zhao, J. and Condon, D. and Paul, F. and Noé, F. and Turner, D. and Bussi, G. (2017) Predicting the kinetics of RNA oligonucleotides using Markov state models. J. Chem. Theory Comput., 13 (2). pp. 926-934.

R

Rentsch, Jakob and Bandstra, Selle and Sezen, Batuhan and Sigrist, Philipp Stephan and Bottanelli, Francesca and Schmerl, Bettina and Shoichet, Sarah and Noé, Frank and Sadeghi, Mohsen and Ewers, Helge (2024) Sub-membrane actin rings compartmentalize the plasma membrane. Journal of Cell Biology (JCB), 223 (4).

S

Schütte, Christof and Klus, Stefan and Hartmann, Carsten (2023) Overcoming the Timescale Barrier in Molecular Dynamics: Transfer Operators, Variational Principles, and Machine Learning. Acta Numerica, 32 . pp. 517-673.

Straube, Arthur V. and Winkelmann, Stefanie and Höfling, Felix (2023) Accurate reduced models for the pH oscillations in the urea-urease reaction confined to giant lipid vesicles. J. Phys. Chem. B, 127 (13). pp. 2955-2967.

Sadeghi, Mohsen (2022) Investigating the entropic nature of membrane-mediated interactions driving the aggregation of peripheral proteins. Soft Matter (18). pp. 3917-3927.

Sadeghi, Mohsen and Noé, Frank (2021) Thermodynamics and kinetics of aggregation of flexible peripheral membrane proteins. The Journal of Physical Chemistry Letters, 12 (43). pp. 10497-10504.

Straube, Arthur V. and Winkelmann, Stefanie and Schütte, Christof and Höfling, Felix (2021) Stochastic pH Oscillations in a Model of the Urea−Urease Reaction Confined to Lipid Vesicles. J. Phys. Chem. Lett., 12 . pp. 1-6.

Sadeghi, Mohsen and Noé, Frank (2021) Hydrodynamic coupling for particle-based solvent-free membrane models. The Journal of Chemical Physics, 155 (11).

Sadeghi, Mohsen and Noé, Frank (2020) Large-scale simulation of biomembranes incorporating realistic kinetics into coarse-grained models. Nature Communications, 11 (2951).

Scherer, M. K. and Husic, B.E. and Hoffmann, M. and Paul, F. and Wu, H. and Noé, F. (2018) Variational Selection of Features for Molecular Kinetics. SFB 1114 Preprint in arXiv:1811.11714 . pp. 1-12. (Unpublished)

Sadeghi, M. and Weikl, T. and Noé, F. (2018) Particle-based membrane model for mesoscopic simulation of cellular dynamics. J. Chem. Phys., 148 (4). 044901.

Sbailò, L. and Noé, F. (2017) An efficient multi-scale Green's Functions Reaction Dynamics scheme. J. Chem. Phys., 147 . p. 184106. ISSN 0021-9606, ESSN: 1089-7690

Schöneberg, J. and Lehmann, M. and Ullrich, A. and Posor, Y. and Lo, W.-T. and Lichtner, G. and Schmoranzer, J. and Haucke, V. and Noé, F. (2017) Lipid-mediated PX-BAR domain recruitment couples local membrane constriction to endocytic vesicle fission. Nat. Comm., 8 . p. 15873.

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.

T

Thies, Arne and Sunkara, Vikram and Ray, Sourav and Wulkow, Hanna and Özgür Celik, M. and Yergöz, Fatih and Schütte, Christof and Stein, Christoph and Weber, Marcus and Winkelmann, Stefanie (2023) Modelling altered signalling of G-protein coupled receptors in inflamed environment to advance drug design. Scientific Reports, 13 (1). p. 607.

Tierno, Pietro and Johansen, Tom H. and Straube, Arthur V. (2021) Thermally active nanoparticle clusters enslaved by engineered domain wall traps. NATURE COMMUNICATIONS, 12 (5813). pp. 1-11.

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.

W

Wu, Hao and Noé, Frank (2024) Reaction coordinate flows for model reduction of molecular kinetics. The Journal of Chemical Physics, 160 (4).

Winkelmann, Stefanie and Zonker, J. and Schütte, Christof and Djurdjevac Conrad, Natasa (2021) Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading. Mathematical Biosciences, 336 .

Winkelmann, Stefanie and Schütte, Christof (2020) Stochastic Dynamics in Computational Biology. Springer International Publishing.

Wang, J. and Olsson, S. and Wehmeyer, C. and Perez, A. and Charron, N.E. and de Fabritiis, G. and Noé, F. and Clementi, C. (2019) Machine Learning of coarse-grained Molecular Dynamics Force Fields. ACS Cent. Sci., 5 (5). pp. 755-767. ISSN 2374-7943, ESSN: 2374-7951

Wehmeyer, C. and Scherer, M. K. and Hempel, T. and Husic, B.E. and Olsson, S. and Noé, F. (2018) Introduction to Markov state modeling with the PyEMMA software — v1.0. LiveCoMS, 1 (1). pp. 1-12. ISSN E-ISSN: 2575-6524

Winkelmann, S. and Schütte, Ch. (2017) Hybrid models for chemical reaction networks: Multiscale theory and application to gene regulatory systems. Journal of Chemical Physics, 147 (11). pp. 1-18.

Winkelmann, S. and Schütte, Ch. (2016) The spatiotemporal master equation: approximation of reaction-diffusion dynamics via Markov state modeling. Journal of Chemical Physics, 145 (21). p. 214107.

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