Accelerating HTE workflows at AstraZeneca | Webinar

Abstract

The demand for accelerated development timelines coupled with the need for high sample throughput in the drug discovery process has amplified the adoption of high throughput experimentation (HTE) in discovery chemistry. However, the analysis of the vast number of samples produced daily has emerged as a major challenge, creating data processing bottlenecks that impede efficiency. 

To address this issue, we have integrated the Reaction Optimisation (RO) brick within the Mgears software into our synthetic workflow. This facilitates the rapid and consistent processing of large data sets. The system provides visual and numerical summaries of chromatographic data, which are essential for further calculations and graphical representations. Furthermore, collaboration with the Mgears team has enabled customization of the RO brick to accommodate automated analysis of sample libraries which contain different compounds in each sample. 

The implementation of the RO brick has significantly expedited our HTE workflows by reducing the data processing bottleneck and removing the need for manual transcription. Importantly, data quality has been enhanced through a reduction in transcription errors and incorrect peak assignments. 

The adoption of the RO brick within Mgears software has proven to be a pivotal advancement in HTE for discovery chemistry. It has not only accelerated the data processing pipeline but has also contributed to improved accuracy and reliability of experimental results. This approach sets a new standard for efficiency in the synthesis and analysis stages of drug discovery, paving the way for faster and more effective development cycles.