Chapter title |
Protein Structural Analysis via Mass Spectrometry-Based Proteomics
|
---|---|
Chapter number | 19 |
Book title |
Modern Proteomics – Sample Preparation, Analysis and Practical Applications
|
Published in |
Advances in experimental medicine and biology, December 2016
|
DOI | 10.1007/978-3-319-41448-5_19 |
Pubmed ID | |
Book ISBNs |
978-3-31-941446-1, 978-3-31-941448-5
|
Authors |
Antonio Artigues, Owen W. Nadeau, Mary Ashley Rimmer, Maria T. Villar, Xiuxia Du, Aron W. Fenton, Gerald M. Carlson |
Editors |
Hamid Mirzaei, Martin Carrasco |
Abstract |
Modern mass spectrometry (MS) technologies have provided a versatile platform that can be combined with a large number of techniques to analyze protein structure and dynamics. These techniques include the three detailed in this chapter: (1) hydrogen/deuterium exchange (HDX), (2) limited proteolysis, and (3) chemical crosslinking (CX). HDX relies on the change in mass of a protein upon its dilution into deuterated buffer, which results in varied deuterium content within its backbone amides. Structural information on surface exposed, flexible or disordered linker regions of proteins can be achieved through limited proteolysis, using a variety of proteases and only small extents of digestion. CX refers to the covalent coupling of distinct chemical species and has been used to analyze the structure, function and interactions of proteins by identifying crosslinking sites that are formed by small multi-functional reagents, termed crosslinkers. Each of these MS applications is capable of revealing structural information for proteins when used either with or without other typical high resolution techniques, including NMR and X-ray crystallography. |
X Demographics
Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 68 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 18 | 26% |
Student > Bachelor | 11 | 16% |
Researcher | 6 | 9% |
Student > Master | 6 | 9% |
Other | 4 | 6% |
Other | 7 | 10% |
Unknown | 16 | 24% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 26 | 38% |
Chemistry | 6 | 9% |
Agricultural and Biological Sciences | 6 | 9% |
Engineering | 3 | 4% |
Computer Science | 2 | 3% |
Other | 8 | 12% |
Unknown | 17 | 25% |