Protein and Peptide Mass Spectrometry in Drug Discovery

Protein and Peptide Mass Spectrometry in Drug Discovery

Editor(s): Michael L. Gross, Guodong Chen, Birendra N. Pramanik

Published Online: 23 SEP 2011 10:53AM EST

Print ISBN: 9780470258170

Online ISBN: 9781118116555

DOI: 10.1002/9781118116555

About this Book

The book that highlights mass spectrometry and its application in characterizing proteins and peptides in drug discovery

An instrumental analytical method for quantifying the mass and characterization of various samples from small molecules to large proteins, mass spectrometry (MS) has become one of the most widely used techniques for studying proteins and peptides over the last decade. Bringing together the work of experts in academia and industry, Protein and Peptide Mass Spectrometry in Drug Discovery highlights current analytical approaches, industry practices, and modern strategies for the characterization of both peptides and proteins in drug discovery.

Illustrating the critical role MS technology plays in characterizing target proteins and protein products, the methods used, ion mobility, and the use of microwave radiation to speed proteolysis, the book also covers important emerging applications for neuroproteomics and antigenic peptides. Placing an emphasis on the pharmaceutical industry, the book stresses practice and applications, presenting real-world examples covering the most recent advances in mass spectrometry, and providing an invaluable resource for pharmaceutical scientists in industry and academia, analytical and bioanalytical chemists, and researchers in protein science and proteomics.

Table of contents

    1. You have free access to this content
    1. You have free access to this content
  1. Part I: Methodology

    1. Chapter 6

      Peptide and Protein Analysis Using Ion Mobility–Mass Spectrometry (pages 139–174)

      Jeffrey R. Enders, Michal Kliman, Sevugarajan Sundarapandian and John A. McLean

  2. Part II: Applications

    1. Chapter 14

      Neuropeptidomics (pages 393–433)

      Jonathan V. Sweedler, Fang Xie and Adriana Bora

    1. You have free access to this content

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