Drug Discovery 2022: driving the next life science revolution

Automated analysis workflow to identify metal contamination in HTS outputs

Time: To be announced
Where:
To be announced
Speaker:

Abstract

Large compound libraries utilised for high throughput screening often include metal contaminated compounds which can interfere with assay signal or target biology, and therefore appear as hits. Pursuit of these compounds can divert considerable time and resource away from more propitious hits. Within AstraZeneca we have developed and implemented novel high throughput assays utilising Acoustic-Mist Ionisation MS (AMI-MS)1 to identify metal contaminated compounds in high-throughput2. These assays have facilitated rapid delivery of high quality and cleaner hit chemistry to project teams; however, the current analysis process is limited. In collaboration with Genedata we have developed an efficient workflow to aid analysis. Here, we will discuss the use of Genedata Expressionist and Screener to automatically assess metal presence, determine metal identity, and flag contaminated compounds directly from MS spectra. 1. Sinclair, I.; Bachman, M.; Addison, D.; et al. Acoustic Mist Ionization Platform for Direct and Contactless Ultrahigh-Throughput Mass Spectrometry Analysis of Liquid Samples. Analytical Chemistry 2019, 91, 3790-3794. 2. Molyneux, C.; Sinclair, I.; Lightfoot, H. L.; et al. High-throughput detection of metal contamination in HTS outputs. SLAS Discovery 2022.

Hosted By

ELRIG

The European Laboratory Research & Innovation Group Our Vision : To provide outstanding, leading edge knowledge to the life sciences community on an open access basis

Get the App

Get this event information on your mobile by
going to the Apple or Google Store and search for 'myEventflo'
iPhone App
Android App
www.myeventflo.com/2423