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Related Experiment Videos

High-throughput crystallization and structure determination in drug discovery.

Lance Stewart1, Robin Clark, Craig Behnke

  • 1Emerald BioStructures, MediChem Life Sciences, 7869 N.E. Day Rd W., Bainbridge Island, WA 98110, USA. lstewart@emeraldbiostructures.com

Drug Discovery Today
|January 30, 2002
PubMed
Summary

High-throughput protein X-ray crystallography accelerates drug discovery by automating the process of determining protein structures. Addressing bottlenecks from gene identification to model refinement is crucial for timely results.

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Area of Science:

  • Structural biology
  • Drug discovery and development

Background:

  • High-throughput protein X-ray crystallography is a powerful tool for drug discovery.
  • Drug discovery projects rely on solving protein structures within specific timeframes.
  • Current methods face bottlenecks in the process from gene identification to 3D structure determination.

Purpose of the Study:

  • To identify key bottlenecks in high-throughput protein X-ray crystallography.
  • To emphasize the time-sensitive nature of structural data in drug discovery.
  • To discuss automation strategies for overcoming these bottlenecks.

Main Methods:

  • Review of current technological innovations in protein crystallography automation.
  • Analysis of strategies aimed at eliminating bottlenecks in the structure determination pipeline.

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  • Focus on automation from gene identification through model building and refinement.

    • Main Results:

    • Defined critical bottlenecks in the workflow of protein structure determination.
    • Highlighted the necessity of automation to meet the time demands of drug discovery.
    • Presented current innovations and strategies for automating various stages of crystallography.

    Conclusions:

    • Automation is essential to streamline protein structure determination for drug discovery.
    • Addressing bottlenecks in the crystallography pipeline enhances the efficiency of identifying drug targets.
    • Technological advancements are crucial for accelerating the structure-based drug design process.