Introduction to Protein Mass Spectrometry, Second Edition provides a comprehensive overview of this increasingly important, yet complex, analytical technique. This book enables readers to understand how determinations about protein identity from mass spectrometric data are made. Coverage begins with the technical basics, including preparations, instruments, and spectrometric analysis of peptides and proteins, before exploring applied use in biological applications, bioinformatics, database, and software resources. This new edition is fully updated to include the latest developments in the field and will feature new content covering recent progress in the areas where there have been the most exciting advances. These include PNNL's multilevel-PCB-based SLIM realization, SLIM-Agilent QQQ field trials; employment of SLIM-IMS-cryo-IR combination in molecular structure determination; proximity-labelling mass spectrometry, and applications in neuroscience.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Maße
Höhe: 234 mm
Breite: 189 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-0-443-14015-0 (9780443140150)
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Schweitzer Klassifikation
Pradip K. Ghosh received his PhD from Indiana University, USA, and did his postdoctoral research at Rice University. For most of his career he was on the faculty at the Indian Institute of Technology Kanpur, India. He also taught as a Visiting Professor at Pomona College and the University of California Berkeley. His research specialization has been in plasma chemical physics and in mass spectrometry. He is the author of several books, including Introduction to Photoelectron Spectroscopy (Wiley-Interscience), Ion Traps (Clarendon Press, Oxford), and the first edition of Introduction to Protein Mass Spectrometry (Academic Press).
Autor*in
Former Professor of Chemistry, Indian Institute of Technology, Kanpur, India
1. Introduction
2. Sample Preparation and Ionization for Mass Spectrometry
3. Instruments
4. Mass Spectrometry of Peptides and Proteins
5. Examples from Biological Applications
6. Mass Spectrometry-Based Bioinformatics
