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Protein Dynamics

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Cover of 'Protein Dynamics'

Table of Contents

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    Book Overview
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    Chapter 1 Monitoring Side-Chain Dynamics of Proteins Using 2 H Relaxation
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    Chapter 2 CPMG Relaxation Dispersion
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    Chapter 3 Confocal Single-Molecule FRET for Protein Conformational Dynamics
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    Chapter 4 Protein Structural Dynamics Revealed by Site-Directed Spin Labeling and Multifrequency EPR
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    Chapter 5 Probing Backbone Dynamics with Hydrogen/Deuterium Exchange Mass Spectrometry
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    Chapter 6 Carbon–Deuterium Bonds as Non-perturbative Infrared Probes of Protein Dynamics, Electrostatics, Heterogeneity, and Folding
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    Chapter 7 Balancing Bond, Nonbond, and Gō-Like Terms in Coarse Grain Simulations of Conformational Dynamics
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    Chapter 8 A Tutorial on Building Markov State Models with MSMBuilder and Coarse-Graining Them with BACE
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    Chapter 9 Analysis of Protein Conformational Transitions Using Elastic Network Model
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    Chapter 10 Geometric Simulation of Flexible Motion in Proteins
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    Chapter 11 Principal Component Analysis: A Method for Determining the Essential Dynamics of Proteins
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    Chapter 12 A Case Study Comparing Quantitative Stability-Flexibility Relationships Across Five Metallo-β-Lactamases Highlighting Differences Within NDM-1.
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    Chapter 13 Towards Comprehensive Analysis of Protein Family Quantitative Stability–Flexibility Relationships Using Homology Models
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    Chapter 14 Using the COREX/BEST Server to Model the Native-State Ensemble
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    Chapter 15 Morphing Methods to Visualize Coarse-Grained Protein Dynamics
Attention for Chapter 8: A Tutorial on Building Markov State Models with MSMBuilder and Coarse-Graining Them with BACE
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Chapter title
A Tutorial on Building Markov State Models with MSMBuilder and Coarse-Graining Them with BACE
Chapter number 8
Book title
Protein Dynamics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-658-0_8
Pubmed ID
Book ISBNs
978-1-62703-657-3, 978-1-62703-658-0
Authors

Gregory R. Bowman, Bowman, Gregory R.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Bachelor 3 16%
Researcher 3 16%
Student > Master 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 3 16%
Readers by discipline Count As %
Chemistry 6 32%
Chemical Engineering 3 16%
Biochemistry, Genetics and Molecular Biology 2 11%
Agricultural and Biological Sciences 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 11%
Unknown 3 16%