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Protein NMR

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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 16: Covariance NMR Processing and Analysis for Protein Assignment
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Chapter title
Covariance NMR Processing and Analysis for Protein Assignment
Chapter number 16
Book title
Protein NMR
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7386-6_16
Pubmed ID
Book ISBNs
978-1-4939-7385-9, 978-1-4939-7386-6
Authors

Bradley J. Harden, Dominique P. Frueh

Abstract

During NMR resonance assignment it is often necessary to relate nuclei to one another indirectly, through their common correlations to other nuclei. Covariance NMR has emerged as a powerful technique to correlate such nuclei without relying on error-prone peak peaking. However, false-positive artifacts in covariance spectra have impeded a general application to proteins. We recently introduced pre- and postprocessing steps to reduce the prevalence of artifacts in covariance spectra, allowing for the calculation of a variety of 4D covariance maps obtained from diverse combinations of pairs of 3D spectra, and we have employed them to assign backbone and sidechain resonances in two large and challenging proteins. In this chapter, we present a detailed protocol describing how to (1) properly prepare existing 3D spectra for covariance, (2) understand and apply our processing script, and (3) navigate and interpret the resulting 4D spectra. We also provide solutions to a number of errors that may occur when using our script, and we offer practical advice when assigning difficult signals. We believe such 4D spectra, and covariance NMR in general, can play an integral role in the assignment of NMR signals.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Researcher 2 17%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Chemistry 4 33%
Agricultural and Biological Sciences 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 6 50%