Summary

Every protein production campaign—whether for basic research or drug discovery—starts with the same uncertainty: Will this construct express? Will it purify? Should we use bacterial or eukaryotic systems?

With an influx of computationally designed constructs and the need to screen multiple variants, answering these questions traditionally takes weeks of trial and error.

Join Dr. Magdalena Richter, Associate Principal Scientist at AstraZeneca, as she details how her team systematically addressed this bottleneck. By benchmarking Nuclera’s eProtein Discovery™ system against standard E. coli cell-based expression, her team asked a critical question: Can a 24-hour, cell-free screen accurately predict expression success at scale?

 

Dr. Richter will share the benchmarking data demonstrating strong translatability between the two platforms. Discover how Dr. Richter is using this data to build a robust "screen-to-protein in one week" workflow, rapidly triaging constructs, identifying quick wins, flagging targets requiring alternative expression systems, and feeding actionable feasibility data directly into project planning.

In this webinar, you’ll learn how to:

• Benchmark the data: Discover how expression and purifiability data generated on the 24-hour eProtein Discovery™ system compares directly to outcomes in E. coli cell-based production.
• Predict expression success: Gain practical insights into when multiplex screening signals a "quick win" for bacterial production, and exactly when it flags the need for an alternative eukaryotic expression path.
• Optimize Lab Resources: Learn how integrating rapid screening data into project planning eliminates trial-and-error, enabling smarter resource allocation and faster delivery of protein reagents.

 

This webinar is designed for:

• Protein Sciences & Expression Groups looking to eliminate the weeks of trial-and-error traditionally required to triage new computational designs and variants.
• Discovery & Hit-to-Lead Teams in pharma/biotech who need predictive data to efficiently allocate resources between bacterial and eukaryotic expression pipelines.
• Core Facility Managers seeking to implement standardized, rapid triaging workflows to handle high volumes of challenging recombinant targets.
• Structural Biologists & Biophysicists working with intrinsically disordered proteins, transcription factors, or other difficult-to-express complexes.

 

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