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Data Management and Prediction to Support High Throughput Purification

The high throughput purification (HTP) group at Merck supports discovery chemistry to provide fast results for next step decisions. In this presentation, Jun discusses the use of vendor agnostic data management, chromatographic retention time prediction, and automation to drive greater efficiency in HTP. Hear about:

Assembly of LC/UV/MS data from different instrument vendors
Automated data processing and analysis
Leveraging knowledge in support of more efficient chromatographic separations

Presented By

Jun Wang

Scientist (Medicinal Chemist), Merck

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Data Management and Prediction to Support High Throughput Purification

Presented By

Jun Wang

Other Resources

Revolutionizing Chemistry by Digitalizing Analysis Controls at MilliporeSigma

Efficient, Sustainable Method Development

Enabling End-User HTE at GSK

In Silico Modeling for QbD Method Development and Optimization

Revision of Natural Product Structures with CASE and DFT

Building a Database Now and for the Future

High-throughput NMR Workflow and Automated Structure Verification at Amgen

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