Chapter 13
High-Resolution Mass Spectrometry and Drug Metabolite Identification
Russell J. Mortishire-Smith,
Haiying Zhang,
Kevin P. Bateman,
Russell J. Mortishire-Smith
Janssen Pharmaceutical Companies of Johnson & Johnson, B-2340 Beerse, Belgium
Search for more papers by this authorHaiying Zhang
Department of Biotransformation, Bristol-Myers Squibb Research & Development, Pennington, New Jersey, USA
Search for more papers by this authorKevin P. Bateman
Drug Metabolism and Pharmacokinetics, Merck Frosst Canada Ltd., Quebec, H9H 3L1 Canada
Search for more papers by this authorRussell J. Mortishire-Smith,
Haiying Zhang,
Kevin P. Bateman,
Russell J. Mortishire-Smith
Janssen Pharmaceutical Companies of Johnson & Johnson, B-2340 Beerse, Belgium
Search for more papers by this authorHaiying Zhang
Department of Biotransformation, Bristol-Myers Squibb Research & Development, Pennington, New Jersey, USA
Search for more papers by this authorKevin P. Bateman
Drug Metabolism and Pharmacokinetics, Merck Frosst Canada Ltd., Quebec, H9H 3L1 Canada
Search for more papers by this authorBook Editor(s):Mike S. Lee, Mingshe Zhu,
Mingshe Zhu
Department of Biotransformation, Bristol-Myers Squibb Research and Development, Princeton, New Jersey, USA
Search for more papers by this authorSeries Editor(s): Mike S. Lee,
Summary
This chapter contains sections titled:
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Introduction
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Challenges Presented by Different Samples
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Fundamental Advantage of High-Resolution Mass Spectrometry: Specificity/Selectivity in a Single Generic Method
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High-Resolution Mass Spectrometry: Important Concepts
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High-Resolution Instrumentation
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Advantages of High-Resolution MS: The Concept of Mass Defect Filtration
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Postprocessing Strategies for Identifying Metabolites in Complex High- Resolution Data Sets
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Control Comparison
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Background Subtraction
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Isotope Filtration
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“All-in-One” Data Analysis
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Rationalization of Novel Metabolites
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Assigning Product Ion Spectra Using the Power of Accurate Mass
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Localization: The Final Frontier
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Quantitative and Qualitative In Vivo Pharmacokinetic Data from a Single Injection per Sample
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Future Opportunities
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References
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