Empowering Drug Metabolite Identification with a Novel LC/MS Software Workflow

DATE

FIRST SESSION: March 25, 2025

SECOND SESSION: March 26, 2025

Can’t make it to the live event? Register and we will send you the link so you can watch on demand.

TIME

FIRST SESSION: March 25, 2025

8:00 a.m. PDT, 11:00 a.m. EDT, 15:00 GMT, 16:00 CET

Duration: 60 Minutes

SECOND SESSION: March 26, 2025

8:30 a.m. IST, 11:00 a.m. CST, 12:00 p.m. JST/KST

Duration 60 Minutes

Overview

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

Brought to you by:

Speaker

Mark Sartain, PhD
Application Development Scientist
Agilent Technologies

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