Michael Habeck

发表

Replica-exchange Monte Carlo scheme for bayesian data analysis.

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2005, Physical review letters.

Estimation of Interaction Potentials through the Configurational Temperature Formalism.

Michael Habeck, Martin Mechelke, M. Habeck, 2013, Journal of chemical theory and computation.

Generation of three-dimensional random rotations in fitting and matching problems

Michael Habeck, M. Habeck, 2009, Comput. Stat..

A New Algorithm for Improving the Resolution of Cryo-EM Density Maps

Bernhard Schölkopf, Michael Hirsch, Michael Habeck, 2010, RECOMB.

Evaluation of marginal likelihoods via the density of states

Michael Habeck, M. Habeck, 2012, AISTATS.

A probabilistic model for detecting rigid domains in protein structures

Michael Habeck, Thach Nguyen, M. Habeck, 2016, Bioinform..

Iconography : Probabilistic structure calculation

Michael Habeck, Wolfgang Rieping, Michael Nilges, 2008 .

Bayesian evidence and model selection

Michael Habeck, Kevin H. Knuth, Nabin K. Malakar, 2014, Digit. Signal Process..

Bayesian inference of initial models in cryo-electron microscopy using pseudo-atoms.

Michael Habeck, Paul Joubert, M. Habeck, 2015, Biophysical journal.

Graphical analysis of NMR structural quality and interactive contact map of NOE assignments in ARIA

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2008, BMC Structural Biology.

HHfrag: HMM-based fragment detection using HHpred

Michael Habeck, Ivan Kalev, 2011, Bioinform..

Data-driven coarse graining of large biomolecular structures

Michael Habeck, Yi-Ling Chen, M. Habeck, 2017, PloS one.

Probabilistic structure calculation

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2008 .

Spatial statistics, image analysis and percolation theory

Michael Habeck, Bernhard Scholkopf, Mikhail Langovoy, 2011 .

Bayesian reconstruction of the density of states.

Michael Habeck, M. Habeck, 2007, Physical review letters.

Mixture models for protein structure ensembles

Michael Hirsch, Michael Habeck, M. Habeck, 2008, Bioinform..

Bayesian inference of chromatin structure ensembles from population Hi-C data

Michael Nilges, Michael Habeck, Simeon Carstens, 2018, bioRxiv.

Bayesian Structural Modeling of Large Biomolecular Systems

Michael Habeck, 2019 .

A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps

Bernhard Schölkopf, Michael Hirsch, Michael Habeck, 2011, J. Comput. Biol..

Stability of doubly-intractable distributions pdf

Bjorn Sprungk, Michael Habeck, Daniel Rudolf, 2020, ArXiv.

NOE assignment with ARIA 2.0: the nuts and bolts.

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2004, Methods in molecular biology.

Combining computational modeling with sparse and low-resolution data.

Michael Nilges, Michael Habeck, 2011, Journal of structural biology.

Materials and Methods Som Text Figs. S1 to S6 References Movies S1 to S5 Inferential Structure Determination

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2022 .

Statistical mechanics analysis of sparse data.

Michael Habeck, M. Habeck, 2011, Journal of structural biology.

Model evidence from nonequilibrium simulations

Michael Habeck, M. Habeck, 2017, NIPS.

Autonomous reconstruction and segmentation of tomographic data.

Michael Habeck, Markus Wollgarten, M. Habeck, 2014, Micron.

Ensemble annealing of complex physical systems

Michael Habeck, 2015 .

Robust probabilistic superposition and comparison of protein structures

Michael Habeck, Martin Mechelke, M. Habeck, 2010, BMC Bioinformatics.

Inferential Structure Determination of Chromosomes from Single-Cell Hi-C Data

Michael Nilges, Michael Habeck, Simeon Carstens, 2016, PLoS Comput. Biol..

CSB: a Python framework for structural bioinformatics

Michael Habeck, Martin Mechelke, Ivan Kalev, 2012, Bioinform..

ARIA2: Automated NOE assignment and data integration in NMR structure calculation

Michael Nilges, Therese E. Malliavin, Michael Habeck, 2007, Bioinform..

A blind deconvolution approach for pseudo CT prediction from MR image pairs

Bernhard Schölkopf, Bernd J. Pichler, Michael Hirsch, 2012, 2012 19th IEEE International Conference on Image Processing.

Bayesian inference of chromatin structure ensembles from population-averaged contact data

Michael Habeck, Michael Nilges, Simeon Carstens, 2020, Proceedings of the National Academy of Sciences.

Weighting of experimental evidence in macromolecular structure determination.

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2006, Proceedings of the National Academy of Sciences of the United States of America.

A probabilistic network model for structural transitions in biomolecules

Michael Habeck, Thach Nguyen, M. Habeck, 2018, Proteins.

ARIA: automated NOE assignment and NMR structure calculation

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2003, Bioinform..

ISD: a software package for Bayesian NMR structure calculation

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2008, Bioinform..

Probabilistic Structure Calculation

Michael Habeck, Wolfgang Rieping, M Nilges, 2007 .

Accurate NMR structures through minimization of an extended hybrid energy.

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2008, Structure.

Automatic particle picking using diffusion filtering and random forest classification

Bernhard Schölkopf, Michael Hirsch, Michael Habeck, 2011 .

A graph-based algorithm for detecting rigid domains in protein structures

Michael Habeck, Stephan Waack, Thach Nguyen, 2021, BMC Bioinform..

Structure of the human voltage-dependent anion channel

Michael Habeck, Christian Griesinger, Thomas Meins, 2008, Proceedings of the National Academy of Sciences.

Membrane-protein structure determination by solid-state NMR spectroscopy of microcrystals

Michael Habeck, Benjamin Bardiaux, Dirk Linke, 2012, Nature Methods.

Modeling errors in NOE data with a log-normal distribution improves the quality of NMR structures.

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2005, Journal of the American Chemical Society.

Calibration of Boltzmann distribution priors in Bayesian data analysis.

Michael Habeck, Martin Mechelke, M. Habeck, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Cryo-EM structure and rRNA model of a translating eukaryotic 80S ribosome at 5.5-Å resolution

Johannes Söding, Michael Habeck, Eric Westhof, 2010, Proceedings of the National Academy of Sciences.

Cooperative binding: a multiple personality

Michael Habeck, Luis Diambra, M. Habeck, 2015, Journal of Mathematical Biology.

The GD box: A widespread noncontiguous supersecondary structural element

Michael Habeck, Murray Coles, Vikram Alva, 2009, Protein science : a publication of the Protein Society.

Structural bioinformatics ARIA 2 : Automated NOE assignment and data integration in NMR structure calculation

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2007 .

Structure validation of the Josephin domain of ataxin-3: Conclusive evidence for an open conformation

Giuseppe Nicastro, Dmitri I Svergun, Michael Habeck, 2006, Journal of biomolecular NMR.

Bayesian inference applied to macromolecular structure determination.

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

A probabilistic model for secondary structure prediction from protein chemical shifts

Michael Habeck, Martin Mechelke, M. Habeck, 2013, Proteins.

Inferential NMR/X-ray-based structure determination of a dibenzo[a,d]cycloheptenone inhibitor-p38α MAP kinase complex in solution.

Michael Habeck, Christian Griesinger, Stefan Becker, 2012, Angewandte Chemie.

Bayesian approach to inverse statistical mechanics.

Michael Habeck, M. Habeck, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Influence of different assignment conditions on the determination of symmetric homodimeric structures with ARIA

Michael Nilges, Michael Habeck, Wolfgang Rieping, 2009, Proteins.

Bayesian estimation of free energies from equilibrium simulations.

Michael Habeck, M. Habeck, 2012, Physical review letters.