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Number of items at this level: 163.

A

Abramyan, A. and Stolzenberg, S. and Li, Z. and Loland, C. J. and Noé, F. and Shi, L. (2017) The isomeric preference of an atypical dopamine transporter inhibitor contributes to its selection of the transporter conformation. ACS Chem. Neurosc., 8 . pp. 1735-1746. (In Press)

Agarwal, A. and Wang, H. and Schütte, Ch. and Delle Site, L. (2014) Chemical potential of liquids and mixtures via Adaptive Resolution Simulation. Journal of Chemical Physics, 141 (3). ISSN 0021-9606

Agarwal, A. and Clementi, C. and Delle Site, L. (2017) Path Integral-GC-AdResS simulation of a large hydrophobic solute in water: A tool to investigate the interplay between local microscopic structures and quantum delocalization of atoms in space. Physical Chemistry Chemical Physics, 19 . pp. 13030-13037. ISSN 1463-9084

Andreotti, S. and Reinert, K. and Canzar, S. (2013) The duplication-loss small phylogeny problem: from cherries to trees. Journal of Computational Biology, 20 (9). pp. 643-59.

B

Bach, V. and Delle Site, L. (2014) On Some Open Problems in Many-Electron Theory. In: Many-Electron Approaches in Physics, Chemistry and Mathematics: A Multidisciplinary View. Mathematical Physics Studies . Springer, pp. 413-417. ISBN 978-3-319-06378-2

Banisch, Ralf and Djurdjevac, N. (2015) Cycle-flow–based module detection in directed recurrence networks. EPL (Europhysics Letters) , 108 (6). ISSN 0295-5075

Banisch, Ralf and Djurdjevac, N. and Schütte, Ch. (2015) Reactive flows and unproductive cycles in irreversible Markov chains. The European Physical Journal Special Topics, 224 (12). pp. 2369-2387. ISSN 1951-6355

Banisch, Ralf and Koltai, Péter (2017) Understanding the geometry of transport: diffusion maps for Lagrangian trajectory data unravel coherent sets. Chaos: An Interdisciplinary Journal of Nonlinear Science, 23 (23). ISSN 1054-1500 (print); 1089-7682 (online) (Submitted)

Bauer, R. A. and Rother, K. and Moor, P. and Reinert, K. and Steinke, T. and Bujnicki, J. M. and Preissner, R. (2009) Fast Structural Alignment of Biomolecules Using a Hash Table, N-Grams and String Descriptors. Algorithms and Molecular Sciences, 2 (2). pp. 692-709. ISSN 1999-4893

Becker, T. and Fischer, S. and Noé, F. and Tournier, A. and Ullmann, M. and Kurkal, V. and Smith, J. C. (2006) Physical and functional aspects of protein dynamics. Soft Condensed Matter Physics in Molecular and Cell Biology, Poon & Andelman (Eds) .

Becker, T. and Fischer, S. and Noé, F. and Ullmann, M. and Tournier, A. and Smith, J. C. (2003) Protein Dynamics: Glass Transition and Mechanical Function. Advances in Solid State Physics, 43 . pp. 677-694.

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

Bielow, C. and Gröpl, C. and Kohlbacher, O. and Reinert, K. (2011) Bioinformatics for qualitative and quantitative proteomics. In: Bioinformatics for Omics Data Methods and Protocols. Humana Press, pp. 331-49.

Bielow, C. and Aiche, S. and Andreotti, S. and Reinert, K. (2011) MSSimulator: Simulation of Mass Spectrometry Data. Journal of Proteome Research, 10 (7). pp. 2922-2929.

Bockmayr, A. and Siebert, H. and Röblitz, S. and Schütte, Ch. and Deuflhard, P. (2014) Advanced mathematical modeling in systems biology. In: MATHEON : mathematics for key technologies. EMS series in industrial and applied mathematics, 1 . EMS Publishing House, Zürich, pp. 22-44. ISBN 978-3-03719-137-8

Botta, N. and Klein, R. and Almgren, A. (1999) Dry Atmosphere Asymptotics. Technical Report. PIK Report, Summary Report No. 55.

Bowman, G. R. and Pande, V. S. and Noé, F. (2014) Introduction and overview of this book. In: An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation. Advances in Experimental Medicine and Biology, 797 . Springer, pp. 1-6.

Bruckner, S. and Hüffner, F. and Komusiewicz, Ch. and Niedermeier, R. (2013) Evaluation of ILP-based approaches for partitioning into colorful components. In: Experimental Algorithms. Lecture Notes in Computer Science, 7933 (7933). Springer, Heidelberg, pp. 176-187. ISBN 978-3-642-38526-1 (print) / 978-3-642-38527-8 (online)

Bruckner, S. and Hüffner, F. and Komusiewicz, Ch. and Niedermeier, R. and Thiel, S. and Uhlmann, J. (2012) Partitioning into colorful components by minimum edge deletions. Lecture Notes in Computer Science, 7354 . pp. 56-69.

C

Chen, X. and Yousef, K. P. and Duwe, S. and Karsch, K. and Grover, S. and Wählisch, S. and Obermeier, P. and Tief, F. and Muehlhans, S. and Seeber, L. and von Kleist, M. and Schweiger, B. and Rath , B. (2014) Quantitative influenza follow-up testing (QIFT) - a novel biomarker for the monitoring of disease activity at the point-of-care. PLoS ONE, 9 (3). ISSN 1932-6203

Ciccotti, G. and Ferrario, M. and Schütte, Ch. (2014) Molecular Dynamics Simulation. MDPI AG, Basel. ISBN 978-3-906980-65-2

D

Delle Site, L. (2014) Levy-Lieb Principle meets Quantum Monte Carlo. In: Many-Electron Approaches in Physics, Chemistry and Mathematics: A Multidisciplinary View. Mathematical Physics Studies . Springer, pp. 361-375. ISBN 978-3-319-06378-2

Delle Site, L. (2015) Levy-Lieb principle: The bridge between the electron density of Density Functional Theory and the wavefunction of Quantum Monte Carlo. Chemical Physics Letters, 619 . pp. 148-151. ISSN 0009-2614

Delle Site, L. (2015) Shannon entropy and many-electron correlations: Theoretical concepts, numerical results, and Collins conjecture. International Journal of Quantum Chemistry, 115 (19). pp. 1396-1404. ISSN 1097-461X

Delle Site, L. (2014) What is a Multiscale Problem in Molecular Dynamics? Entropy (Special Issue), 16 (1). pp. 23-40. ISSN 1099-4300

Delle Site, L. and Agarwal, A. and Junghans, C. and Wang, H. (2016) Adaptive Resolution Simulation as a Grand Canonical Molecular Dynamics Scheme: Principles, Applications and Perspectives. In: Multiscale Methods in Molecular Biophysics. Series in Computational Biophysics . CRC Press. ISBN 1482225700 (In Press)

Dellnitz, M. and Klus, S. (2016) Sensing and control in symmetric networks. Dynamical Systems. An International Journal . pp. 1-19. (Submitted)

Dellnitz, M. and Klus, S. and Ziessler, A. (2017) A Set-Oriented Numerical Approach for Dynamical Systems with Parameter Uncertainty. SIAM Journal on Applied Dynamical Systems, 16 (1). pp. 120-138. ISSN 1536-0040

Deuflhard, P. and Röblitz, S. (2015) A Guide to Numerical Modelling in Systems Biology. Texts in Computational Science and Engineering, 12 . Springer International Publishing, Basel. ISBN 978-3-319-20058-3 (print) / 978-3-319-20059-0 (online)

Dittmer, E. (2009) Hidden Markov Models with Time-Continuous Output Behavior. PhD thesis, FU Berlin.

Djurdjevac, N. and Banisch, Ralf and Schütte, Ch. (2015) Modularity of Directed Networks: Cycle Decomposition Approach. Journal of Computational Dynamics, 2 (1). pp. 1-24. ISSN 2158-2491

Djurdjevac, N. and Weber, M. and Schütte, Ch. (2016) Finding dominant structures of nonreversible Markov processes. Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 14 (4). pp. 1319-1340. ISSN 1540-3459

Dommert, F. and Wendler, K. and Qiao, B. and Delle Site, L. (2014) Generic force fields for ionic liquids. Journal of Molecular Liquids, 192 . pp. 32-37. ISSN 0167-7322

Duwal, S. and Sunkara, V. and von Kleist, M. (2016) Multiscale Systems-Pharmacology Pipeline to Assess the Prophylactic Efficacy of NRTIs Against HIV-1. CPT: Pharmacometrics & Systems Pharmacology, 5 (7). pp. 377-387. ISSN 2163-8306

E

Ehrig, R. and Dierkes, T. and Schäfer, S. and Röblitz, S. and Tronci, E. and Mancini, T. and Salvo, I. and Alimguzhin, V. and Mari, F. and Melatti, I. and Massini, A. and Krüger, T. H. C. and Egli, M. and Ille, F. and Leeners, B. (2015) An integrative approach for model driven computation of treatments in reproductive medicine. In: BIOMAT - Proceedings of the 15th International Symposium on Mathematical and Computational Biology, 07.11.2015 - 11.11.2015, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India - USA.

Emde, A.-K. and Grunert, M. and Weese, D. and Reinert, K. and Sperling, S. R. (2010) MicroRazerS: Rapid alignment of small RNA reads. Bioinformatics, 26 (1). pp. 123-124. ISSN 1367-4803

Emde, A.-K. and Schulz, M. H. and Weese, D. and Sun, R. and Vingron, M. and Kalscheuer, V. M. and Haas, S. A. and Reinert, K. (2012) Detecting genomic indel variants with exact breakpoints in single- and paired-end sequencing data using SplazerS. Bioinformatics, 28 (5). pp. 619-627.

Enciso , M. and Schütte, Ch. and Delle Site, L. (2013) pH-dependent Response of Coiled Coils: A Coarse-Grained Molecular Simulation Study. Molecular Physics, 111 (22-23). pp. 3363-3371. ISSN 0026-8976

F

Faelber, K. and Held, M. and Gao, S. and Posor, Y. and Haucke, V. and Noé, F. and Daumke, O. (2012) Structural insights into dynamin-mediated membrane fission. Structure, 20 . 1621-1628.

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

Flamm, Christoph and Ullrich, Alexander and Hofacker, L. Ivo and Stadler, Peter F. (2010) Evolution of Metabolic Networks: A Computational Framework. Journal of Systems Chemistry, 1 (4).

G

Gelß, P. and Matera, S. and Schütte, Ch. (2016) Solving the master equation without kinetic Monte Carlo: tensor train approximations for a CO oxidation model. Journal of Computational Physics, 314 . pp. 489-502. ISSN 0021-9991

Gräfe, Ch. and Nordmeier, V. and Schütte, Ch. (2009) Computerspiel zum Thema Moleküldynamik für Schüler der 7.-10. Klasse, Experimentelles Protyping zur Entwicklung eines Lernspiels. Jahrestagung 2008 der GDCP (Gesellschaft für Didaktik der Chemie und Physik), 1 . pp. 77-79. ISSN 978-3-643-10010-8

Gul, Rahim and Bernhard, S. (2015) Parametric uncertainty and global sensitivity analysis in a model of the carotid bifurcation: Identification and ranking of most sensitive model parameters. Mathematical Biosciences, 269 . pp. 104-116. ISSN 0025-5564

Gul, Rahim and Bernhard, Stefan (2013) Local sensitivity analysis of cardiovascular system parameters. International Journal of Scientific and Engineering Research (IJSER), 4 (7). pp. 2648-2661. ISSN 2229-5518

H

Hartmann, C. and Banisch, Ralf and Sarich, M. and Badowski, T. and Schütte, Ch. (2014) Characterization of Rare Events in Molecular Dynamics. In: Molecular Dynamics Simulation. MDPI AG, Basel, pp. 222-249. ISBN 978-3-906980-65-2

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

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.

Horenko, I. and Schütte, Ch. (2010) On metastable conformational analysis of non-equilibrium biomolecular time series. Multiscale Modeling & Simulation, 8 (2). pp. 701-716. ISSN 15403467

Huttary, R. and Goubergrits, L. and Schütte, Ch. and Bernhard, S. (2017) Simulation, Identification and Statistical Variation in Cardiovascular Analysis (SISCA) - a Software Framework for Multi-compartment Lumped Modeling. Computers in Biology and Medicine . ISSN 0010-4825 (In Press)

I

Imhof, P. and Noé, F. (2006) AM1/d Parameters for Magnesium in Metalloenzymes. J. Chem. Theo. Comput., 2 . pp. 1050-1056.

J

Junghans, C. and Agarwal, A. and Delle Site, L. (2017) Computational Efficiency and Amdahl's law for the Adaptive Resolution Simulation Technique. Computer Physics Communications, 215 . pp. 20-25. ISSN 0010-4655

K

Katchanov, J. and von Kleist, M. and Arasteh, K. and Stocker, H. (2014) “Time-to-Amphotericin B” in Cryptococcal Meningitis in a European Low-Prevalence Setting: Analysis of Diagnostic Delays. QJM: An International Journal of Medicine, 107 (10). pp. 799-803. ISSN 1460-2393

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.

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.

Klus, S. and Nüske, F. and Koltai, Péter and Wu, H. and Kevrekidis, Ioannis and Schütte, Ch. and Noé, F. (2017) Data-driven model reduction and transfer operator approximation. J. Nonlin. Sci. . (Submitted)

Krekeler, C. and Delle Site, L. (2017) Towards open boundary molecular dynamics simulation of ionic liquids. Physical Chemistry Chemical Physics, 6 (19). pp. 4701-4709. ISSN 1463-9076

Kryven, I. and Röblitz, S. and Schütte, Ch. (2015) Solution of the chemical master equation by radial basis functions approximation with interface tracking. BMC Systems Biology, 9 (67). ISSN 1752-0509

M

Meixenberger, K. and Hauser, A. and Jansen, K. and Yousef, K. P. and Fiedler, S. and von Kleist, M. and Norley, S. and Somogyi, S. and Hamouda, O. and Bannert, N. and Bartmeyer, B. and Kücherer, C. (2014) Assessment of ambiguous base calls in HIV-1 pol population sequences as a biomarker to identify recent infections in HIV-1 incidence studies. Journal of Clinical Microbiology, 52 (8). pp. 2977-2983. ISSN 0095-1137

Meixenberger, K. and Yousef, K. P. and Somogyi, S. and Fiedler, S. and Bartmeyer, B. and von Kleist, M. and Kücherer, C. (2014) Characterization of natural polymorphic sites of the HIV-1 integrase before the introduction of HIV-1 integrase inhibitors in Germany. J Int AIDS Soc., 17 (4 Suppl 3). p. 19746.

Metzner, Ph. and Weber, M. and Schütte, Ch. (2010) Observation Uncertainty in Reversible Markov Chains. Phys. Rev. E, 82 (3). 031114.

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.

Moualeu-Ngangue, D. P. and Röblitz, S. and Ehrig, R. and Deuflhard, P. (2015) Parameter Identification in a Tuberculosis Model for Cameroon. PLoS ONE, 10 (4). e0120607. ISSN 1932-6203

Münch, M. (1996) Einsatz von CFD bei der Modellierung natürlicher Brände - Ein Vergleich zwischen Simulationsrechnung und Experiment. Masters thesis, Technische Universität Braunschweig.

Münch, M. (2015) Zwischen Glaskugel und Wissenschaft. Wann sind Brandsimulationen vertrauenswürdig? In: 4. Magdeburger Brand- und Explosionsschutztage, 26./27. März 2015, Otto-von-Guericke Universität Magdeburg, Hochschule Magdeburg. (Unpublished)

N

Nielsen, A. (2016) The Monte Carlo computation error of transition probabilities. Statistics & Probability Letters, 118 . pp. 163-170. ISSN 0167-7152

Noé, F. (2002) The Evolution of Cell Colonies in Volvocacean Algae: Investigation by theoretical analysis and computer simulation. Masters thesis, Cork Institute of Technology, Ireland.

Noé, F. and Chodera, J. D. (2014) Uncertainty Estimation. In: An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation. Advances in Experimental Medicine and Biology, 797 . Springer, pp. 61-74.

Noé, F. and Ille, F. and Smith, J. C. and Fischer, S. (2005) Automated Computation of Low-Energy Pathways for Complex Rearrangements in Proteins: Application to the conformational switch of Ras p21. Proteins, 59 . pp. 534-544.

Noé, F. and Prinz, J.-H. (2014) Analysis of Markov Models. In: An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation. Advances in Experimental Medicine and Biology, 797 . Springer, pp. 75-90.

Noé, F. and Schwarzl, S. and Fischer, S. and Smith, J. C. (2003) Computational tools for analysing structural changes in proteins in solution. Applied Bioinformatics, 2 . pp. 11-17.

Noé, F. and Smith, J. C. (2007) Transition Networks: a unifying theme for molecular simulation and computer science. Mathematical Modeling of Biological Systems I, A. Deutsch, L. Brusch, H. Byrne, G. de Vries and H.-P. Herzel (Eds) . pp. 125-144.

Noé, F. (2013) Markov Models of Molecular Kinetics. In: Encyclopedia of Biophysics. Springer, pp. 1385-1394.

Noé, F. (2015) Statistical inefficiency of Markov model count matrices. preprint . (Unpublished)

Noé, F. (2006) Transition Networks: Computational Methods for the Comprehensive Analysis of Complex Rearrangements in Proteins. PhD thesis, University of Heidelberg.

Noé, F. and Banisch, Ralf and Clementi, C. (2016) Commute maps: separating slowly-mixing molecular configurations for kinetic modeling. J. Chem. Theory Comput., 12 . pp. 5620-5630.

Noé, F. and Clementi, C. (2017) Collective variables for the study of long-time kinetics from molecular trajectories: theory and methods. Curr. Opin. Struct. Biol., 43 . pp. 141-147.

Noé, F. and Clementi, C. (2015) Kinetic distance and kinetic maps from molecular dynamics simulation. J. Chem. Theory Comput., 11 . pp. 5002-5011.

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 Krachtus, D. and Smith, J. C. and Fischer, S. (2006) Transition Networks for the Comprehensive Characterization of Complex Conformational Change in Proteins. J. Chem. Theo. Comput., 2 . pp. 840-857.

Noé, F. and Nüske, F. (2013) A variational approach to modeling slow processes in stochastic dynamical systems. SIAM Multiscale Model. Simul., 11 . pp. 635-655.

Noé, F. and Oswald, M. and Reinelt, G. and Smith, J. C. and Fischer, S. (2006) Computing Best Transition Pathways in High-Dimensional Dynamical Systems. Multisc. Model. Sim., 5 . pp. 393-419.

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. 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 .

Noé, F. and Wu, H. and Prinz, J.-H. and Plattner, N. (2013) Projected and Hidden Markov Models for calculating kinetics and metastable states of complex molecules. J. Chem. Phys., 139 . p. 184114.

Nüske, F. (2012) A variational approach for conformation dynamics. Masters thesis, FU Berlin.

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.

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.

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

Parsa, A. M. and Kozhan, I. and Wulkow, M. and Hutchinson, R. A. (2014) Modeling of Functional Group Distribution in Copolymerization: A Comparison of Deterministic and Stochastic Approaches. Macromolecular Theory and Simulations, 23 (3). pp. 207-217. ISSN 10221344

Paulus, F. and Weiss, M. E. R. and Steinhilber, D. and Nikitin, A. and Schütte, Ch. and Haag, R. (2013) Anionic Ring-Opening Polymerization Simulations for Hyperbranched Polyglycerols with Defined Molecular Weights. Macromolecules, 46 (21). pp. 8458-8466. ISSN 0024-9297

Peuker, Sebastian and Cukkemane, Abhishek and Held, M. and Noé, F. and Kaupp, Benjamin and Seifert, Reinhard (2013) Kinetics of ligand-receptor interaction reveals an induced-fit mode of binding in a cyclic nucleotide-activated protein. Biophys. J., 104 . pp. 63-74.

Pilari, S. and Preusse, C. and Huisinga, W. (2010) Gestational Influences on the Pharmacokinetics of Gestagenic Drugs: A Combined In Silico, In Vitro and In Vivo Analysis. European Journal of Pharmaceutical Sciences . (Submitted)

Pilari, S. and Huisinga, W. (2010) Lumping of Physiologically-Based Pharmacokinetic Models and a Mechanistic Derivation of Classical Compartmental Models. Journal of Pharmacokinetics and Pharmacodynamics, 37 (4). pp. 365-405.

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. Comp. Theory Comput. , 13 . pp. 926-934.

Plattner, N. and Doerr, S. and De Fabritiis, G. and Noé, F. (2017) Complete protein–protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling. Nat. Chem., 9 . pp. 1005-1011.

Plöntzke, J. and Berg, M. and Stötzel, C. and Röblitz, S. (2015) A systems biology approach to bovine fertility and metabolism: Introduction of a glucose insulin model. In: BIOMAT - Proceedings of the 15th International Symposium on Mathematical and Computational Biology, 07.11.2015 - 11.11.2015, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India - USA.

Prinz, J.-H. and Chodera, J. D. and Noé, F. (2014) Estimation and Validation of Markov Models. In: An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation. Advances in Experimental Medicine and Biology , 797 . Springer, pp. 45-60.

Prinz, J.-H. (2012) Advanced estimation methods for Markov models of dynamical systems. PhD thesis, FU Berlin.

Prinz, J.-H. and Chodera, J. D. and Noé, F. (2014) Spectral rate theory for two-state kinetics. Phys Rev X, 4 . 011020.

Prinz, J.-H. and Held, M. and Smith, J. C. and Noé, F. (2011) Efficient Computation, Sensitivity and Error Analysis of Committor Probabilities for Complex Dynamical Processes. Multiscale Model. Simul., 9 . pp. 545-567.

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.

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.

Pérez-Hernández, G. and Noé, F. (2016) Hierarchical Time-Lagged Independent Component Analysis: Computing Slow Modes and Reaction Coordinates for Large Molecular Systems. J. Chem. Theory Comput., 12 . pp. 6118-6129.

Pérez-Hernández, G. and Paul, F. and Giorgino, T. and de Fabritiis, G. and Noé, F. (2013) Identification of slow molecular order parameters for Markov model construction. J. Chem. Phys., 139 . 015102.

R

Rams, Mona (2016) A new approach for biomarker detection using fusion networks. Masters thesis, Freie Universität Berlin.

Rohrschneider, Markus and Ullrich, Alexander and Kerren, Andreas and Stadler, Peter F. and Scheuermann, Gerik (2010) Visual Network Analysis of Dynamic Metabolic Pathways. Advances in visual computing . pp. 316-327. ISSN 3-642-17288-1

S

Sadiq, S. K. and Noé, F. and de Fabritiis, G. (2012) Kinetic characterization of the critical step in HIV-1 protease maturation. Proc. Natl. Acad. Sci. USA, 109 . pp. 20449-20454.

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

Sarich, M. and Banisch, Ralf and Hartmann, C. and Schütte, Ch. (2014) Markov State Models for Rare Events in Molecular Dynamics. In: Molecular Dynamics Simulation. MDPI AG, Basel, pp. 250-279. ISBN 978-3-906980-65-2

Sarich, M. and Prinz, J.-H. and Schütte, Ch. (2014) Markov Model Theory. In: An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation. Advances in Experimental Medicine and Biology, 797 (797). Springer, Dordrecht, Heidelberg, New York, London, pp. 23-44. ISBN 978-94-007-7605-0

Schaller, Christoph (2013) STORMicroscopy: A Mathematical Analysis. Masters thesis, FU Berlin.

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.

Schulz, M. H. and Weese, D. and Holtgrewe, M. and Dimitrova, V. and Niu, S. and Reinert, K. and Richard, H. (2014) Fiona: a parallel and automatic strategy for read error correction. Bioinformatics, 30 (17). i356-i363.

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.

Schöneberg, J. and Noé, F. (2013) ReaDDy - a software for particle based reaction diffusion dynamics in crowded cellular environments. PLoS ONE, 8 . e74261. ISSN 1932-6203

Schütte, Ch. and Conrad, T. O. F. (2014) Showcase 3: Information-based medicine. In: MATHEON : mathematics for key technologies. EMS Series in Industrial and Applied Mathematics, 1 . EMS Publishing House, Zürich, pp. 66-67. ISBN 978-3-03719-137-8

Schütte, Ch. and Deuflhard, P. (2014) Life sciences. In: MATHEON : mathematics for key technologies. EMS series in industrial and applied mathematics, 1 . EMS Publishing House, Zürich, pp. 1-6. ISBN 978-3-03719-137-8

Schütte, Ch. and Deuflhard, P. and Noé, F. and Weber, M. (2014) Design of functional molecules. In: MATHEON : mathematics for key technologies. EMS series in industrial and applied mathematics, 1 . EMS Publishing House, Zürich, pp. 49-65. ISBN 978-3-03719-137-8

Schütte, Ch. and Nielsen, A. and Weber, M. (2015) Markov state models and molecular alchemy. Molecular Physics, 113 (1). pp. 69-78. ISSN 0026-8976

Schütte, Ch. and Sarich, M. (2015) A critical appraisal of Markov state models. The European Physical Journal Special Topics, 224 (12). pp. 2445-2462. ISSN 1951-6355

Schütte, Ch. and Wang, H. (2015) Building Markov State Models for Periodically Driven Non-Equilibrium Systems. Journal of Chemical Theory and Computation, 11 (4). pp. 1819-1831. ISSN 1549-9618

Schütte, Ch. and Noé, F. and Lu, Jianfeng and Sarich, M. and Vanden-Eijnden, E. (2011) Markov State Models Based on Milestoning. J. Chem. Phys., 134 (20). p. 204105.

Seibert, Johannes (2010) Investigation of the reaction-diffusion processes of rod cell disc membrane photoactivation with single-particle resolution. Masters thesis, FU Berlin.

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Smith, M. and Smyth, R.P. and Marquet, R. and von Kleist, M. (2016) MIMEAnTo – Profiling functional RNA in Mutational Interference Mapping Experiments. Bioinformatics . ISSN 1367-4803 (Submitted)

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Spötter, Andreas and Gupta, Pooja and Mayer, Manfred and Reinsch , Norbert and Bienefeld, Kaspar (2016) Genome-Wide Association Study of a Varroa-Specific Defense Behavior in Honeybees (Apis mellifera). Journal of Heredity, 107 (3). pp. 220-227. ISSN 0022-1503 (Print) 1465-7333 (online)

Stötzel, C. and Ehrig, R. and Boer, H.M.T. and Plöntzke, J. and Röblitz, S. (2015) Exploration of different wave patterns in a model of the bovine estrous cycle by Fourier analysis. In: BIOMAT - Proceedings of the 14th International Symposium on Mathematical and Computational Biology, 02.11.2014 - 08.11.2014, Bedlewo - Poland.

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T

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U

Ullrich, A. and Böhme, M. A. and Schöneberg, J. and Depner, H. and Sigrist, S. J. and Noé, F. (2015) Dynamical organization of Syntaxin-1A at the presynaptic active zone. PLoS Comput. Biol., 11 . e1004407.

Ullrich, Alexander (2011) Computational Studies on the Evolution of Metabolism. PhD thesis, Universität Leipzig.

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V

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.

W

Waidmann, M. (2017) Towards a Strictly Conservative Hybrid Level-Set Volume-of-Fluid Finite Volume Method for Zero Mach Number Two-Phase Flow. In: UNSPECIFIED UNSPECIFIED.

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Weese, D. (2013) Indices and Applications in High-Throughput Sequencing. PhD thesis, Freie Universität Berlin.

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Weiße, Andrea Y. (2009) Global Sensitivity Analysis of Ordinary Differential Equations. PhD thesis, FU Berlin.

Wieczorek, M. and Abualrous, E. T. and Sticht, J. and Alvaro-Benito, M. and Stolzenberg, S. and Noé, F. and Freund, C. (2017) Title: Major Histocompatibility Complex (MHC) class I and MHC class II proteins: Conformational Plasticity in Antigen Presentation. Frontiers Immunology, 8 . p. 292.

Wieczorek, M. and Sticht, J. and Stolzenberg, S. and Günther, S. and Wehmeyer, C. and El Habre, Z. and Àlvaro-Benito, M. and Noé, F. and Freund, C. (2016) MHC class II complexes sample intermediate states along the peptide exchange pathway. Nature Communications, 7 . p. 13224.

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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. (2011) Bayesian framework for modeling diffusion processes with nonlinear drift based on nonlinear and incomplete observations. Phys. Rev. E, 83 (3). 036705.

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

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Wu, H. and Noé, F. (2014) Optimal estimation of free energies and stationary densities from multiple biased simulations. SIAM Multiscale Model. Simul., 12 . pp. 25-54.

Wu, H. and Noé, F. (2010) Probability Distance Based Compression of Hidden Markov Models. Multiscale Model. Simul., 8 . pp. 1838-1861.

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Wu, H. and Nüske, F. and Paul, F. and Klus, S. and Koltai, Péter and Noé, F. (2017) Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations. J. Chem. Phys., 146 . p. 154104.

Z

Zhang, W. and Hartmann, C. and Schütte, Ch. (2016) Effective dynamics along given reaction coordinates, and reaction rate theory. Faraday discussions . ISSN 1359-6640 (In Press)

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This list was generated on Tue Sep 26 16:34:48 2017 CEST.