An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation
The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescal...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
2014, 2014
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| Edition: | 1st ed. 2014 |
| Series: | Advances in Experimental Medicine and Biology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- An overview and practical guide to building Markov state models
- Markov model theory
- Estimation and Validation of Markov models
- Uncertainty estimation
- Analysis of Markov models
- Transition Path Theory
- Understanding Protein Folding using Markov state models
- Understanding Molecular Recognition by Kinetic Network Models Constructed from Molecular Dynamics Simulations
- Markov State and Diffusive Stochastic Models in Electron Spin Resonance
- Software for building Markov state models