Drug Metabolite Profiling and Identification by High-resolution Mass Spectrometry

被引:158
|
作者
Zhu, Mingshe [1 ]
Zhang, Haiying [1 ]
Humphreys, W. Griffith [1 ]
机构
[1] Bristol Myers Squibb Pharmaceut Co, Princeton, NJ 08543 USA
关键词
THOROUGH BACKGROUND SUBTRACTION; LC/MS DATA APPLICATION; ELECTRON-CAPTURE DISSOCIATION; TRAPPED REACTIVE METABOLITES; IN-VITRO; HIGH-THROUGHPUT; TOP-DOWN; STRUCTURAL-CHARACTERIZATION; ANALYTICAL STRATEGIES; BIOLOGICAL MATRICES;
D O I
10.1074/jbc.R110.200055
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Mass spectrometry plays a key role in drug metabolite identification, an integral part of drug discovery and development. The development of high-resolution (HR) MS instrumentation with improved accuracy and stability, along with new data processing techniques, has improved the quality and productivity of metabolite identification processes. In this minireview, HR-MS-based targeted and non-targeted acquisition methods and data mining techniques (e. g. mass defect, product ion, and isotope pattern filters and background subtraction) that facilitate metabolite identification are examined. Methods are presented that enable multiple metabolite identification tasks with a single LC/HR-MS platform and/or analysis. Also, application of HR-MS-based strategies to key metabolite identification activities and future developments in the field are discussed.
引用
收藏
页码:25419 / 25425
页数:7
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