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.
Tentang Penulis
Michael L. Gross, Ph D, is a Professor in the Departments of
Chemistry, Medicine, and Immunology at Washington University in St.
Louis. He is also Principal Investigator at the National Institutes
of Health (NIH) Research Resource in Mass Spectrometry.
Guodong Chen, Ph D, is Principal Scientist in
Bioanalytical and Discovery Analytical Sciences at Bristol-Myers
Squibb in Princeton, New Jersey. He heads a mass spectrometry group
in support of drug discovery as well as development programs in
small molecule pharmaceuticals and biologics.
Birendra N. Pramanik, Ph D, was a Distinguished Fellow at
Schering-Plough Research Institute (SPRI), where he directed the
spectroscopy, mass spectrometry, and NMR programs.
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