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Related Concept Videos

High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography06:19

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Updated: Jan 20, 2026

Author Spotlight: High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography
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Author Spotlight: High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography

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High-throughput protein sequencing.

Victoria Pham1, Jake Tropea, Suzy Wong

  • 1Department of Protein Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, USA.

Analytical Chemistry
|March 8, 2003
PubMed
Summary
This summary is machine-generated.

An automated autosampler increases protein sequencing capacity and speed by allowing six samples per cartridge. Modifications to Edman chemistry further enhance efficiency and prevent sample degradation during automated protein sequencing.

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Proteomics

Background:

  • Automated protein sequencing is crucial for identifying and characterizing proteins.
  • Existing methods can be limited by sample capacity and processing speed.
  • Optimizing Edman chemistry is essential for accurate and efficient peptide analysis.

Purpose of the Study:

  • To design and implement an autosampler for commercial protein sequencers.
  • To increase sample throughput and reduce sequencing time.
  • To improve the reliability and accuracy of automated protein sequencing.

Main Methods:

  • Development of a novel autosampler attachment for a commercial protein sequencer.
  • Integration of faster Edman cycles and a rapid 12-minute PTH separation.
  • Modification of Edman chemistry to enhance coupling efficiency and prevent internal cleavage.

Main Results:

  • The autosampler increases sample capacity by allowing up to six samples per cartridge.
  • The combined system significantly accelerates automated protein sequencing.
  • Edman chemistry modifications improve coupling efficiency and reduce sample degradation.

Conclusions:

  • The developed autosampler and modified Edman chemistry substantially enhance the speed and capacity of automated protein sequencing.
  • This system offers a more efficient workflow for proteomic analysis.
  • The improvements contribute to more robust and reliable protein identification.