Repository: Freie Universität Berlin, Math Department

Browse by Projects

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Date | Creators | Item Type | No Grouping
Jump to: A | B | C | F | H | L | M | N | S | W
Number of items: 21.

A

Azhand, Arash (2009) Diffusion Processes with Hidden States from Single Molecule Experiments. Masters thesis, FU Berlin and TU Berlin.

B

Bernhard, S. and Noé, F. (2010) Optimal Identification of Semi-Rigid Domains in Macromolecules from Molecular Dynamics Simulation. PLoS One, 5 . e10491.

C

Chodera, J. D. and Noé, F. (2010) Probability distributions of molecular observables computed from Markov models. II: Uncertainties in observables and their time-evolution. J. Chem. Phys, 133 (10). p. 105102.

F

Fischbach, M. (2008) Methods for modeling metastable conformational dynamics from trajectory data. Masters thesis, FU Berlin.

H

Held, M. and Metzner, Ph. and Prinz, J.-H. and Noé, F. (2011) Mechanisms of Protein-Ligand association and its modulation by protein mutations. Biophys. J., 100 (3). pp. 701-710.

Held, M. (2007) Conformational Studies of UDP-N-Acetyl-Glucosamine in Environments of Increasing Complexity. Masters thesis, FU Berlin.

Horenko, I. and Hartmann, C. and Schütte, Ch. and Noé, F. (2007) Data-based Parameter Estimation of Generalized Multidimensional Langevin Processes. Phys. Rev. E, 76 (01). 016706.

L

Lüdge, Torsten (2009) A theoretical model of conformational transitions in biomolecules based on single-molecule Förster resonance electron transfer measurements. Masters thesis, FU Berlin and TU Berlin.

M

Metzner, Ph. and Noé, F. and Schütte, Ch. (2009) Estimating the Sampling Error: Distribution of Transition Matrices and Functions of Transition Matrices for Given Trajectory Data. Phys. Rev. E, 80 (2). 021106.

N

Noé, F. and Schütte, Ch. and Vanden-Eijnden, E. and Reich, L. and Weikl, T. (2009) Constructing the Full Ensemble of Folding Pathways from Short Off-Equilibrium Simulations. Proc. Natl. Acad. Sci. USA, 106 (45). pp. 19011-19016.

Noé, F. (2008) Probability Distributions of Molecular Observables computed from Markov Models. J. Chem. Phys., 128 . p. 244103.

Noé, F. and Daidone, I. and Smith, J. C. and Di Nola, A. and Amadei, A. (2008) Solvent Electrostriction Driven Peptide Folding revealed by Quasi-Gaussian Entropy Theory and Molecular Dynamics Simulation. J. Phys. Chem. B, 112 . pp. 11155-11163.

Noé, F. and Fischer, S. (2008) Transition Networks for Modeling the Kinetics of Conformational Change in Macromolecules. Curr. Opin. Struct. Biol., 18 . pp. 154-162.

Noé, F. and Horenko, I. and Schütte, Ch. and Smith, J. C. (2007) Hierarchical Analysis of Conformational Dynamics in Biomolecules: Transition Networks of Metastable States. J. Chem. Phys., 126 (15). p. 155102.

Noé, F. and Oswald, M. and Reinelt, G. (2007) Optimization in Graphs with Limited Information on the Edge Weights. Operations Research Proceedings 2007. Editors: J. Kalcsics and S. Nickel . pp. 435-440.

Noé, F. and Smith, J. C. and Schütte, Ch. (2007) A network-based approach to biomolecular dynamics. From Computational Biophysics to Systems Biology (CBSB07). Editors: U. H. E. Hansmann, J. Meinke, S. Mohanty and O. Zimmermann, NIC Se .

S

Sarich, M. and Noé, F. and Schütte, Ch. (2010) On the Approximation Quality of Markov State Models. Multiscale Model. Simul., 8 (4). pp. 1154-1177.

Splettstößer, T. and Noé, F. and Oda, T. and Smith, J. C. (2009) Nucleotide-dependence of G-actin conformation from multiple molecular dynamics simulations and observation of a putatively polymerisation-competent superclosed state. Proteins, 76 . pp. 353-364.

Schütte, Ch. and Noé, F. and Meerbach, E. and Metzner, Ph. and Hartmann, C. (2009) Conformation Dynamics. Proceedings of the 6th International Congress on Industrial and Applied Mathematics, I. Jeltsch and G. Wanner (eds.), . pp. 297-335.

Sakalli, I. (2008) Parallelization Strategies for a Brownian Dynamics Algorithm. Other thesis, FU Berlin.

W

Wu, H. and Noé, F. (2010) Maximum a posteriori estimation for Markov chains based on Gaussian Markov random fields. Procedia Computer Science, 1 (1). pp. 1665-1673.

This list was generated on Sun Dec 22 02:44:10 2024 CET.