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• W1964163398 abstract "Biotransformation of chemically stable compounds to reactive metabolites that can bind covalently to macromolecules (such as proteins and DNA) is considered an undesirable property of drug candidates. Due to the possible link, which has not yet been conclusively demonstrated, between reactive metabolites and adverse drug reactions, screening for metabolic activation of lead compounds through in vitro chemical trapping experiments has become an integral part of the drug discovery process in many laboratories. In this review, we provide an overview of the recent advances in the application of high-resolution MS. These advances facilitated the development of accurate-mass-based data mining tools for high-throughput screening of reactive drug metabolites in drug discovery." @default.
• W1964163398 created "2016-06-24" @default.
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• W1964163398 date "2012-03-01" @default.
• W1964163398 modified "2023-10-14" @default.
• W1964163398 title "Application of LC–high-resolution MS with ‘intelligent’ data mining tools for screening reactive drug metabolites" @default.
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• W1964163398 doi "https://doi.org/10.4155/bio.12.5" @default.
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