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

Full text not available from this repository.

Official URL: http://link.springer.com/chapter/10.1007/978-94-00...

## Abstract

This section reviews the relation between the continuous dynamics of a molecular system in thermal equilibrium and the kinetics given by a Markov State Model (MSM). We will introduce the dynamical propagator, an error-less, alternative description of the continuous dynamics, and show how MSMs result from its discretization. This allows for an precise understanding of the approximation quality of MSMs in comparison to the continuous dynamics. The results on the approximation quality are key for the design of good MSMs. While this section is important for understanding the theory of discretization and related systematic errors, practitioners wishing only to learn how to construct MSMs may skip directly to the discussion of Markov model estimation. Part of this chapter is reprinted with permission from Prinz et al. (Markov models of molecular kinetics: Generation and validation. J. Chem. Phys. 134:174,105, 2011). Copyright 2011, American Institute of Physics.

Item Type: | Book Section |
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Subjects: | Mathematical and Computer Sciences |

Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics > BioComputing Group |

ID Code: | 1469 |

Deposited By: | BioComp Admin |

Deposited On: | 27 Nov 2014 12:19 |

Last Modified: | 04 Feb 2015 11:44 |

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