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Protein Self-Assembly

Overview of attention for book
Cover of 'Protein Self-Assembly'

Table of Contents

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    Book Overview
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    Chapter 1 Measuring Nonspecific Protein–Protein Interactions by Dynamic Light Scattering
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    Chapter 2 Light Scattering to Quantify Protein–Protein Interactions at High Protein Concentrations
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    Chapter 3 Quantitative Evaluation of Protein Solubility in Aqueous Solutions by PEG-Induced Liquid–Liquid Phase Separation
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    Chapter 4 Measuring Protein Solubility
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    Chapter 5 Integral caa 3 -Cytochrome c Oxidase from Thermus thermophilus : Purification and Crystallization
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    Chapter 6 Aggregation Profiling of C9orf72 Dipeptide Repeat Proteins Transgenically Expressed in Drosophila melanogaster Using an Analytical Ultracentrifuge Equipped with Fluorescence Detection
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    Chapter 7 Size Analysis of C9orf72 Dipeptide Repeat Proteins Expressed in Drosophila melanogaster Using Semidenaturing Detergent Agarose Gel Electrophoresis
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    Chapter 8 The Use of High Performance Liquid Chromatography for the Characterization of the Unfolding and Aggregation of Dairy Proteins
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    Chapter 9 Differential Scanning Calorimetry to Quantify Heat-Induced Aggregation in Concentrated Protein Solutions
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    Chapter 10 Nanoparticle Tracking Analysis to Examine the Temperature-Induced Aggregation of Proteins
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    Chapter 11 Evaluation of Temporal Aggregation Processes Using Spatial Intensity Distribution Analysis
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    Chapter 12 Fluorescence Correlation Spectroscopy for Particle Sizing in Highly Concentrated Protein Solutions
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    Chapter 13 Size Determination of Protein Oligomers/Aggregates Using Diffusion NMR Spectroscopy
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    Chapter 14 Patchy Particle Models to Understand Protein Phase Behavior
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    Chapter 15 Obtaining Soft Matter Models of Proteins and their Phase Behavior
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    Chapter 16 Binding Free Energies of Conformationally Disordered Peptides Through Extensive Sampling and End-Point Methods
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    Chapter 17 Atomistic Simulation Tools to Study Protein Self-Aggregation
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Title
Protein Self-Assembly
Published by
Springer New York, October 2019
DOI 10.1007/978-1-4939-9678-0
ISBNs
978-1-4939-9677-3, 978-1-4939-9678-0
Editors

McManus, Jennifer J.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Other 1 13%
Student > Doctoral Student 1 13%
Student > Master 1 13%
Researcher 1 13%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 38%
Chemical Engineering 2 25%
Chemistry 2 25%
Immunology and Microbiology 1 13%