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• W4309355881 abstract "Through the use of metabolite profiling, or the examination of the characteristics and structural assignment of metabolites in a variety of preclinical species, drug developers are better able to identify human-specific metabolites as well as those which display disproportionately elevated levels when compared to toxicity models for humans. A detailed knowledge of how a drug candidate is metabolized as early as possible in the drug development process is crucial for a pharmaceutical company. It can save time and precious resources and maximize return-on-investment. The final selection of a successful drug candidate relies enormously on the metabolism studies that are performed in vitro and in vivo . Absorption, distribution, metabolism, excretion, and toxicology (ADMET) studies are widely used in drug discovery and development to help obtain the optimal balance of properties necessary to convert lead compounds into drugs that are safe and effective for human use. Drug discovery efforts have been aimed at identifying and addressing metabolism issues at the earliest possible stage, by developing and applying innovative liquid chromatography-mass spectrometry (LC-MS)-based techniques and instrumentation, which are both faster and more accurate. In the area of drug metabolism, for example, revolutionary changes have been achieved by the combination of LC-MS with innovative instrumentation such as triple quadrupoles, ion traps, orbitrap, and time-of-flight mass spectrometry. Such new approaches are demonstrating considerable potential to improve the overall safety profile of drug candidates throughout the drug discovery and development process. These emerging techniques streamline and accelerate the process by eliminating potentially harmful candidates earlier and improving the safety of new drugs. In turn, most ADMET studies have come to rely on LC-MS for the analysis of an ever-increasing workload of potential candidates. This chapter provides a discussion on these important tools, and how they are used in supporting metabolite characterization." @default.
• W4309355881 created "2022-11-26" @default.
• W4309355881 creator A5048429755 @default.
• W4309355881 date "2022-11-18" @default.
• W4309355881 modified "2023-10-16" @default.
• W4309355881 title "Accelerating Metabolite Identification Mass Spectrometry Technology Drives Metabolite Identification Studies Forward" @default.
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• W4309355881 doi "https://doi.org/10.1002/9781119851042.ch8" @default.
• W4309355881 hasPublicationYear "2022" @default.
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