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Proteoform Identification

Overview of attention for book
Cover of 'Proteoform Identification'

Table of Contents

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    Book Overview
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    Chapter 1 Proteoforms and Proteoform Families: Past, Present, and Future
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    Chapter 2 Membrane Ultrafiltration-Based Sample Preparation Method and Sheath-Flow CZE-MS/MS for Top-Down Proteomics
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    Chapter 3 Size Exclusion Chromatography Strategies and MASH Explorer for Large Proteoform Characterization
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    Chapter 4 RPLC-RPLC-MS/MS for Proteoform Identification
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    Chapter 5 Monolithic Materials-Based RPLC-MS for Proteoform Separation and Identification
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    Chapter 6 Capillary Isoelectric Focusing: Mass Spectrometry Method for the Separation and Online Characterization of Monoclonal Antibody Charge Variants at Intact and Subunit Levels
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    Chapter 7 Proteoform Analysis and Construction of Proteoform Families in Proteoform Suite
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    Chapter 8 Top-Down Mass Spectrometry Data Analysis Using TopPIC Suite
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    Chapter 9 Accurate Proteoform Identification and Quantitation Using pTop 2.0
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    Chapter 10 Proteoform Identification and Quantification Using Intact Protein Database Search Engine ProteinGoggle
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    Chapter 11 Mass Deconvolution of Top-Down Mass Spectrometry Datasets by FLASHDeconv
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    Chapter 12 Deconvolving Native and Intact Protein Mass Spectra with UniDec
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    Chapter 13 Discovery of Unknown Posttranslational Modifications by Top-Down Mass Spectrometry
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    Chapter 14 Determining Copper and Zinc Content in Superoxide Dismutase Superoxide dismutase (SOD) Using Electron Capture Dissociation Under Native Spray Conditions
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    Chapter 15 Surface-Induced Dissociation for Protein Complex Characterization
Attention for Chapter 12: Deconvolving Native and Intact Protein Mass Spectra with UniDec
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Chapter title
Deconvolving Native and Intact Protein Mass Spectra with UniDec
Chapter number 12
Book title
Proteoform Identification
Published by
Humana, New York, NY, June 2022
DOI 10.1007/978-1-0716-2325-1_12
Pubmed ID
35657593
Book ISBNs
978-1-07-162324-4, 978-1-07-162325-1
Authors

Kostelic, Marius M., Marty, Michael T.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 4 17%
Student > Bachelor 2 8%
Other 2 8%
Student > Master 2 8%
Other 2 8%
Unknown 8 33%
Readers by discipline Count As %
Chemistry 5 21%
Biochemistry, Genetics and Molecular Biology 4 17%
Computer Science 2 8%
Nursing and Health Professions 1 4%
Chemical Engineering 1 4%
Other 1 4%
Unknown 10 42%

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