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Protein NMR

Overview of attention for book
Cover of 'Protein NMR'

Table of Contents

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    Book Overview
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    Chapter 1 NMR of Macromolecular Assemblies and Machines at 1 GHz and Beyond: New Transformative Opportunities for Molecular Structural Biology
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    Chapter 2 Experimental Aspects of Polarization Optimized Experiments (POE) for Magic Angle Spinning Solid-State NMR of Microcrystalline and Membrane-Bound Proteins
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    Chapter 3 Afterglow Solid-State NMR Spectroscopy
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    Chapter 4 Filamentous Bacteriophage Viruses: Preparation, Magic-Angle Spinning Solid-State NMR Experiments, and Structure Determination. - PubMed - NCBI
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    Chapter 5 Spherical Nanoparticle Supported Lipid Bilayers: A Tool for Modeling Protein Interactions with Curved Membranes
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    Chapter 6 Rapid Prediction of Multi-dimensional NMR Data Sets Using FANDAS. - PubMed - NCBI
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    Chapter 7 Strategies for Efficient Sample Preparation for Dynamic Nuclear Polarization Solid-State NMR of Biological Macromolecules. - PubMed - NCBI
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    Chapter 8 In-Vitro Dissolution Dynamic Nuclear Polarization for Sensitivity Enhancement of NMR with Biological Molecules
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    Chapter 9 Determination of Protein ps-ns Motions by High-Resolution Relaxometry
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    Chapter 10 Characterizing Protein Dynamics with NMR R 1ρ Relaxation Experiments
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    Chapter 11 CPMG Experiments for Protein Minor Conformer Structure Determination
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    Chapter 12 Probing the Atomic Structure of Transient Protein Contacts by Paramagnetic Relaxation Enhancement Solution NMR
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    Chapter 13 From Raw Data to Protein Backbone Chemical Shifts Using NMRFx Processing and NMRViewJ Analysis
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    Chapter 14 Protein Structure Elucidation from NMR Data with the Program Xplor-NIH
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    Chapter 15 Practical Nonuniform Sampling and Non-Fourier Spectral Reconstruction for Multidimensional NMR
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    Chapter 16 Covariance NMR Processing and Analysis for Protein Assignment
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    Chapter 17 Structures of Dynamic Protein Complexes: Hybrid Techniques to Study MAP Kinase Complexes and the ESCRT System
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    Chapter 18 Implementation of the NMR CHEmical Shift Covariance Analysis (CHESCA): A Chemical Biologist’s Approach to Allostery
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    Chapter 19 High-Efficiency Expression of Yeast-Derived G-Protein Coupled Receptors and 19F Labeling for Dynamical Studies
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    Chapter 20 Quantitative Determination of Interacting Protein Surfaces in Prokaryotes and Eukaryotes by Using In-Cell NMR Spectroscopy
Attention for Chapter 7: Strategies for Efficient Sample Preparation for Dynamic Nuclear Polarization Solid-State NMR of Biological Macromolecules. - PubMed - NCBI
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Chapter title
Strategies for Efficient Sample Preparation for Dynamic Nuclear Polarization Solid-State NMR of Biological Macromolecules. - PubMed - NCBI
Chapter number 7
Book title
Protein NMR
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7386-6_7
Pubmed ID
Book ISBNs
978-1-4939-7385-9, 978-1-4939-7386-6
Authors

Boris Itin, Ivan V. Sergeyev

Abstract

Solid-state NMR (SSNMR) is a powerful tool for the elucidation of structure and dynamics in biological macromolecules. Over the years, SSNMR spectroscopists have developed an array of techniques enabling the measurement of internuclear correlations, distances, and torsional angles; these have been applied to the study of a number of biological systems that are difficult to study by X-ray crystallography and solution NMR, including key biological targets such as membrane proteins and amyloid fibrils. Applications of SSNMR to other topic areas, including materials science, pharmaceuticals, and small molecules, have also flourished in recent years. These studies, however, have always been hampered by the low inherent sensitivity of SSNMR, requiring large amounts of both sample and time for data collection. By taking advantage of unpaired electrons doped into a sample as a ready source of additional nuclear polarization, dynamic nuclear polarization (DNP) has brought about large improvements in SSNMR sensitivity. These, in turn, have enabled structural studies of previously inaccessible targets, such as large protein complexes, nucleic acids, viral capsids, and membrane proteins in vivo. Herein, we focus on sample preparation strategies and considerations for scientists interested in applying DNP to challenging systems.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Bachelor 2 22%
Student > Ph. D. Student 1 11%
Student > Postgraduate 1 11%
Unknown 2 22%
Readers by discipline Count As %
Chemistry 4 44%
Materials Science 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2017.
All research outputs
#15,483,707
of 23,008,860 outputs
Outputs from Methods in molecular biology
#5,388
of 13,157 outputs
Outputs of similar age
#269,710
of 442,295 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.