Empowering Drug Metabolite Identification with a Novel LC/MS Software Workflow
Identifying drug metabolites is crucial for understanding drug behavior, efficacy, and safety, but it poses significant challenges due to the complexity and variability of biotransformation products.
In this webinar, we describe a novel hi-res LC/MS strategy for drug metabolite identification and demonstrate with several known drugs. This approach combines cutting-edge software to predict drug biotransformations, search MS/MS data against these structures using molecular fingerprinting, and map identifications to molecular features from differential analysis of drug-treated liver microsomes. The workflow addresses the challenge of identifying drug biotransformation products that are often absent from known spectral libraries.
Key Learning Objectives:
- Learn about the challenges in detecting drug biotransformation products, particularly those absent from known spectral libraries, and understand the need for innovative solutions.
- Explore a new high-resolution LC/MS approach that combines software to predict drug biotransformations, search MS/MS data using molecular fingerprinting, and map identifications to molecular features from chemometrics software.
- See practical demonstrations of the workflow applied to characterize several known drugs and their metabolites, enhancing your ability to implement similar strategies for novel drugs in your own research.
Who Should Attend:
- Laboratory managers
- Chromatographers
- New product developers
Presenter: Mark Sartain, PhD (Application Development Scientist, Agilent Technologies)
