Corpus ID: 18198789

Bayesian hidden Markov model analysis of single-molecule force spectroscopy: Characterizing kinetics under measurement uncertainty

@article{Chodera2011BayesianHM,
  title={Bayesian hidden Markov model analysis of single-molecule force spectroscopy: Characterizing kinetics under measurement uncertainty},
  author={J. Chodera and P. Elms and Frank No'e and B. Keller and Christian M. Kaiser and A. Ewall-Wice and S. Marqusee and C. Bustamante and N. Hinrichs},
  journal={arXiv: Statistical Mechanics},
  year={2011}
}
Departments of Statistics and Computer Science, University of Chicago, IL 60637, USA(Dated: August 9, 2011)Single-molecule force spectroscopy has proven to be a powerful tool for studying the kinetic be-havior of biomolecules. Through application of an external force, conformational states with smallor transient populations can be stabilized, allowing them to be characterized and the statistics of in-dividual trajectories studied to provide insight into biomolecular folding and function… Expand
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References

SHOWING 1-10 OF 81 REFERENCES
Probability distributions of molecular observables computed from Markov models. II. Uncertainties in observables and their time-evolution.
  • 33
  • PDF
Probability distributions of molecular observables computed from Markov models.
  • F. Noé
  • Mathematics, Medicine
  • The Journal of chemical physics
  • 2008
  • 120
  • Highly Influential
  • PDF
Markov models of molecular kinetics: generation and validation.
  • 676
  • PDF
Analysis of single-molecule FRET trajectories using hidden Markov modeling.
  • 602
  • PDF
Improved hidden Markov models for molecular motors, part 1: basic theory.
  • 34
  • PDF
...
1
2
3
4
5
...