Uthpala Seneviratne
Associate Principal Scientist AstraZeneca
Seminars
Tuesday 3rd February 2026
Optimizing & Automating Sample Processing & Working Effectively With Challenging Samples to Enable Scalable, High Throughput Proteomics Across Drug Discovery Pipelines
9:00 am
Proteomics analysis is driven by sensitive and fast instrumentation, but sample preparation remains a critical bottleneck, especially when working with limited or low-quality data. To fully realize the potential of scalable proteomics for drug discovery, it's crucial that sample preparation workflows are accelerated and optimized.
This workshop will gather experts to discuss how to:
- Transition to scalable, automated sample processing with plate-based formats, minimizing hands-on steps, accounting for variation in sample collection, and adopting automation tools
- Overcome poor sample quality with optimized protocols for low-abundance samples, effective enrichment strategies, and methods to reduce protein loss during preparation
- Uphold quality control standards during assay development, sample collection, processing, and storage to maintain sample integrity and facilitate reproducible proteomics analysis
Wednesday 4th February 2026
Facilitating Efficient Proteomic Analysis With High Throughput Mass Spectrometry Capabilities to Power Drug Discovery Pipelines
8:30 am
- Evaluating automation, mass spectrometry instruments, and selecting appropriate technologies based on project demands, cost, and internal capabilities
- Achieving optimal levels of throughput and sensitivity to meet project demands
- Reviewing data showing the unique benefit of implementing high-throughput mass spectrometry-based proteomics for degrader profiling in the early stage of drug discovery
