From Book News, Inc.

The science of proteomics involves the study of collections of proteins known as proteomes. This text for biologists, geneticists, and physiologists presents an introduction to mass spectrometry and its uses in the new field of proteomics. Liebler (pharmacy, U. of Arizona) begins with a discussion of the place of proteomics in the new biology, the nature of proteomes, and the tools of proteomics research. Applications covered include, for example, mining proteomes, protein expression profiling, and mapping protein modifications.Book News, Inc.

Book Info

Univ. of Arizona, Tucson. Pocket-sized introduction to new proteomic technologies and data mining tools. Includes generic examples illustrating important proteomics applications and compares the advantages and disadvantages of different proteomic tools and approaches. Hardcover, softcover also available.


Book Description

Daniel C. Liebler masterfully introduces the science of proteomics by spelling out the basics of how one analyzes proteins and proteomes, and just how these approaches are then employed to investigate their roles in living systems. He explains the key concepts of proteomics, how the analytical instrumentation works, what data mining and other software tools do, and how these tools can be integrated to study proteomes. Also discussed are how protein and peptide separation techniques are applied in proteomics, how mass spectrometry is used to identify proteins, and how data analysis software enables protein identification and the mapping of modifications. In addition, there are proteomic approaches for analyzing differential protein expression, characterizing proteomic diversity, and dissecting protein-protein interactions and networks.

Foreword
Preface
I Proteomics and the Proteome 1
1 Proteomics and the New Biology 3
2 The Proteome 15
II Tools of Proteomics 25
3 Overview of Analytical Proteomics 27
4 Analytical Protein and Peptide Separations 31
5 Protein Digestion Techniques 49
6 Mass Spectrometers for Protein and Peptide Analysis 55
7 Protein Identification by Peptide Mass Fingerprinting 77
8 Peptide Sequence Analysis by Tandem Mass Spectrometry 89
9 Protein Identification with Tandem Mass Spectrometry Data 99
10 SALSA: An Algorithm for Mining Specific Features of Tandem MS Data 109
III Applications of Proteomics 123
11 Mining Proteomes 125
12 Protein Expression Profiling 137
13 Identifying Protein-Protein Interactions and Protein Complexes 151
14 Mapping Protein Modifications 167
15 New Directions in Proteomics 185
Index 195