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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 20: Quantitative Determination of Interacting Protein Surfaces in Prokaryotes and Eukaryotes by Using In-Cell NMR Spectroscopy
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Chapter title
Quantitative Determination of Interacting Protein Surfaces in Prokaryotes and Eukaryotes by Using In-Cell NMR Spectroscopy
Chapter number 20
Book title
Protein NMR
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7386-6_20
Pubmed ID
Book ISBNs
978-1-4939-7385-9, 978-1-4939-7386-6
Authors

David S. Burz, Christopher M. DeMott, Asma Aldousary, Stephen Dansereau, Alexander Shekhtman

Abstract

This paper describes three protocols for identifying interacting surfaces on (15)N-labeled target proteins of known structure by using in-cell NMR spectroscopy. The first protocol describes how to identify protein quinary structure interaction surfaces in prokaryotes by using cross-relaxation-induced polarization transfer, CRIPT, based in-cell NMR. The second protocol describes how to introduce labeled protein into eukaryotic (HeLa) cells via electroporation for CRIPT-based in-cell studies. The third protocol describes how to quantitatively map protein interacting surfaces by utilizing singular value decomposition, SVD, analysis of STructural INTeractions by in-cell NMR, STINT-NMR, data.

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 > Master 3 25%
Student > Ph. D. Student 3 25%
Researcher 2 17%
Professor 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Chemistry 4 33%
Biochemistry, Genetics and Molecular Biology 3 25%
Computer Science 1 8%
Agricultural and Biological Sciences 1 8%
Medicine and Dentistry 1 8%
Other 1 8%
Unknown 1 8%