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Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source
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High throughput cherry-picking of solvated samples.

Robert Schmitt1, Linda Traphagen, Phillip Hajduk

  • 1Abbott Laboratories, 200 Abbott Park Road, Abbott Park, IL 60064, USA. robert.j.schmitt@abbott.com

Combinatorial Chemistry & High Throughput Screening
|April 30, 2010
PubMed
Summary
This summary is machine-generated.

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Automated compound storage enables cherry-picking of specific research compounds. This approach provides faster access to diverse samples, enhancing drug discovery innovation without compromising quality.

Area of Science:

  • Drug Discovery
  • Chemical Biology
  • Repository Management

Background:

  • Traditional compound storage limits access to specific samples.
  • Increasing demand for diverse screening compounds requires efficient retrieval methods.

Purpose of the Study:

  • To implement and evaluate an automated 'cherry-picking' system for compound retrieval.
  • To enhance the speed, quality, and accessibility of research compounds for drug discovery.

Main Methods:

  • Utilized automated compound storage systems for single-use aliquots in dimethyl sulfoxide.
  • Developed a 'cherry-picking' retrieval strategy for targeted compound selection.
  • Implemented the system within a central compound repository.

Main Results:

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Related Experiment Videos

Last Updated: Jun 13, 2026

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source
08:35

Achieving Efficient Fragment Screening at XChem Facility at Diamond Light Source

Published on: May 29, 2021

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
06:29

Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin

Published on: March 3, 2021

High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography
06:19

High-Throughput Screening to Obtain Crystal Hits for Protein Crystallography

Published on: March 10, 2023

  • Enabled rapid retrieval of specific compound groups, facilitating High Throughput Screening.
  • Met increased sample demands without additional staffing for manual dispensing.
  • Maintained sample quality and shelf-life through optimized storage conditions.

Conclusions:

  • Automated cherry-picking significantly improves compound accessibility and retrieval efficiency.
  • This method supports drug discovery innovation by providing faster access to a wider range of compounds.
  • Optimized storage and retrieval protocols ensure high-quality samples for research.