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Intrinsically Disordered Proteins Studied by NMR Spectroscopy

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Cover of 'Intrinsically Disordered Proteins Studied by NMR Spectroscopy'

Table of Contents

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    Book Overview
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    Chapter 1 Back to the Future: Nuclear Magnetic Resonance and Bioinformatics Studies on Intrinsically Disordered Proteins.
  3. Altmetric Badge
    Chapter 2 Structure and Dynamics of Intrinsically Disordered Proteins.
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    Chapter 3 NMR Methods for the Study of Instrinsically Disordered Proteins Structure, Dynamics, and Interactions: General Overview and Practical Guidelines
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    Chapter 4 Ensemble Calculation for Intrinsically Disordered Proteins Using NMR Parameters
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    Chapter 5 NMR Spectroscopic Studies of the Conformational Ensembles of Intrinsically Disordered Proteins.
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    Chapter 6 Recombinant Intrinsically Disordered Proteins for NMR: Tips and Tricks.
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    Chapter 7 Biophysical Methods to Investigate Intrinsically Disordered Proteins: Avoiding an "Elephant and Blind Men" Situation.
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    Chapter 8 Application of SAXS for the Structural Characterization of IDPs
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    Chapter 9 Bioinformatics Approaches for Predicting Disordered Protein Motifs
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    Chapter 10 Towards Understanding Protein Disorder In-Cell
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    Chapter 11 The Protein Ensemble Database
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    Chapter 12 Order and Disorder in the Replicative Complex of Paramyxoviruses.
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    Chapter 13 Druggability of Intrinsically Disordered Proteins.
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    Chapter 14 Beta Amyloid Hallmarks: From Intrinsically Disordered Proteins to Alzheimer's Disease.
Attention for Chapter 3: NMR Methods for the Study of Instrinsically Disordered Proteins Structure, Dynamics, and Interactions: General Overview and Practical Guidelines
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Chapter title
NMR Methods for the Study of Instrinsically Disordered Proteins Structure, Dynamics, and Interactions: General Overview and Practical Guidelines
Chapter number 3
Book title
Intrinsically Disordered Proteins Studied by NMR Spectroscopy
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-3-319-20164-1_3
Pubmed ID
Book ISBNs
978-3-31-920163-4, 978-3-31-920164-1
Authors

Bernhard Brutscher, Isabella C. Felli, Sergio Gil-Caballero, Tomáš Hošek, Rainer Kümmerle, Alessandro Piai, Roberta Pierattelli, Zsófia Sólyom, Brutscher, Bernhard, Felli, Isabella C., Gil-Caballero, Sergio, Hošek, Tomáš, Kümmerle, Rainer, Piai, Alessandro, Pierattelli, Roberta, Sólyom, Zsófia

Abstract

Thanks to recent improvements in NMR instrumentation, pulse sequence design, and sample preparation, a panoply of new NMR tools has become available for atomic resolution characterization of intrinsically disordered proteins (IDPs) that are optimized for the particular chemical and spectroscopic properties of these molecules. A wide range of NMR observables can now be measured on increasingly complex IDPs that report on their structural and dynamic properties in isolation, as part of a larger complex, or even inside an entire living cell. Herein we present basic NMR concepts, as well as optimised tools available for the study of IDPs in solution. In particular, the following sections are discussed hereafter: a short introduction to NMR spectroscopy and instrumentation (Sect. 3.1), the effect of order and disorder on NMR observables (Sect. 3.2), particular challenges and bottlenecks for NMR studies of IDPs (Sect. 3.3), 2D HN and CON NMR experiments: the fingerprint of an IDP (Sect. 3.4), tools for overcoming major bottlenecks of IDP NMR studies (Sect. 3.5), (13)C detected experiments (Sect. 3.6), from 2D to 3D: from simple snapshots to site-resolved characterization of IDPs (Sect. 3.7), sequential NMR assignment: 3D experiments (Sect. 3.8), high-dimensional NMR experiments (nD, with n > 3) (Sect. 3.9) and conclusions and perspectives (Sect. 3.10).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Researcher 13 14%
Student > Master 10 10%
Professor > Associate Professor 7 7%
Student > Bachelor 6 6%
Other 19 20%
Unknown 23 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 28%
Chemistry 17 18%
Agricultural and Biological Sciences 11 11%
Engineering 3 3%
Immunology and Microbiology 2 2%
Other 5 5%
Unknown 31 32%