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An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

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Cover of 'An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction and Overview of This Book
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    Chapter 2 An Overview and Practical Guide to Building Markov State Models
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    Chapter 3 Markov Model Theory
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    Chapter 4 Estimation and Validation of Markov Models
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    Chapter 5 Uncertainty Estimation
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    Chapter 6 Analysis of Markov Models
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    Chapter 7 Transition Path Theory
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    Chapter 8 Understanding Protein Folding Using Markov State Models
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    Chapter 9 Understanding Molecular Recognition by Kinetic Network Models Constructed from Molecular Dynamics Simulations
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    Chapter 10 Markov State and Diffusive Stochastic Models in Electron Spin Resonance
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    Chapter 11 Software for Building Markov State Models
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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