An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation
Author:   Gregory R. Bowman ,  Vijay S. Pande ,  Frank Noé
Publisher:   Springer
Edition:   2014 ed.
Volume:   797
ISBN:  

9789400776050


Pages:   139
Publication Date:   18 December 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation


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Author:   Gregory R. Bowman ,  Vijay S. Pande ,  Frank Noé
Publisher:   Springer
Imprint:   Springer
Edition:   2014 ed.
Volume:   797
Dimensions:   Width: 17.80cm , Height: 1.50cm , Length: 25.40cm
Weight:   4.734kg
ISBN:  

9789400776050


ISBN 10:   9400776055
Pages:   139
Publication Date:   18 December 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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.

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