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Structural proteomics: high-throughput methods. Preface.

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Cover of 'Structural proteomics: high-throughput methods. Preface.'

Table of Contents

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    Book Overview
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    Chapter 1 Protein Structure Annotation Resources
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    Chapter 2 PiMS: A Data Management System for Structural Proteomics
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    Chapter 3 Prediction and Analysis of Intrinsically Disordered Proteins
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    Chapter 4 Characterization and Production of Protein Complexes by Co-expression in Escherichia coli
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    Chapter 5 The Production of Multiprotein Complexes in Insect Cells Using the Baculovirus Expression System
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    Chapter 6 Production of Cell Surface and Secreted Glycoproteins in Mammalian Cells
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    Chapter 7 Cell-free protein synthesis systems derived from cultured Mammalian cells.
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    Chapter 8 Crystallization: Digging into the Past to Learn Lessons for the Future
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    Chapter 9 Screening of Stable G-Protein-Coupled Receptor Variants in Saccharomyces cerevisiae
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    Chapter 10 Cell-Free Expression of G-Protein-Coupled Receptors
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    Chapter 11 GFP-Based Expression Screening of Membrane Proteins in Insect Cells Using the Baculovirus System.
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    Chapter 12 Methods for the Successful Crystallization of Membrane Proteins
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    Chapter 13 Application of In Situ Diffraction in High-Throughput Structure Determination Platforms
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    Chapter 14 CD Spectroscopy: An Essential Tool for Quality Control of Protein Folding
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    Chapter 15 High-Throughput Studies of Protein Shapes and Interactions by Synchrotron Small-Angle X-Ray Scattering
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    Chapter 16 Automated Structure Determination from NMR Spectra
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    Chapter 17 Solid-State Nuclear Magnetic Resonance Spectroscopy for Membrane Protein Structure Determination
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    Chapter 18 Native mass spectrometry: towards high-throughput structural proteomics.
Attention for Chapter 15: High-Throughput Studies of Protein Shapes and Interactions by Synchrotron Small-Angle X-Ray Scattering
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Chapter title
High-Throughput Studies of Protein Shapes and Interactions by Synchrotron Small-Angle X-Ray Scattering
Chapter number 15
Book title
Structural Proteomics
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2230-7_15
Pubmed ID
Book ISBNs
978-1-4939-2229-1, 978-1-4939-2230-7
Authors

Cy M. Jeffries, Dmitri I. Svergun

Abstract

Solution-based small angle X-ray scattering (SAXS) affords the opportunity to extract accurate structural parameters and global shape information from diverse biological macromolecular systems. SAXS is an ideal complementary technique to other structural and biophysical methods but it can also be applied alone to access structural information that is otherwise unobtainable using high-resolution methods. Macromolecular structures ranging from kilodaltons to gigadaltons can be analyzed, which encompasses the size of most proteins and functional cellular complexes. The SAXS analysis is performed using only a few microliters of solution containing microgram quantities of purified material in sample environments that can be tailored to mimic physiological conditions or altered to suit a particular question. High-brilliance synchrotron X-ray sources and parallel advances in hardware and computing have reduced data acquisition times to the millisecond range and the application of automated methods have allowed data processing and low resolution shape modelling to be completed within minutes. These developments have paved the way for high-throughput studies that generate significant quantities of structural information over a short period of time. Here, we briefly consider the basics of SAXS and describe major methods and protocols employed in high-throughput SAXS studies.

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Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Researcher 3 19%
Student > Bachelor 2 13%
Student > Master 2 13%
Student > Postgraduate 2 13%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Chemistry 3 19%
Physics and Astronomy 2 13%
Computer Science 1 6%
Unspecified 1 6%
Other 2 13%
Unknown 2 13%