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Related Experiment Videos

Ongoing developments in CCP4 for high-throughput structure determination.

M D Winn1, A W Ashton, P J Briggs

  • 1Daresbury Laboratory, Daresbury, Warrington WA4 4AD, England. m.d.winn@dl.ac.uk

Acta Crystallographica. Section D, Biological Crystallography
|October 24, 2002
PubMed
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Collaborative Computational Project Number 4 (CCP4) enhances its software suite for protein crystallography, focusing on high-throughput studies. Recent developments improve data management and user interface for seamless workflow integration.

Area of Science:

  • Structural biology
  • Computational biology
  • Biochemistry

Background:

  • Collaborative Computational Project Number 4 (CCP4) originated in 1979 to foster UK collaboration in protein crystallography software.
  • CCP4 has evolved into a comprehensive software suite supporting crystallographic research.

Purpose of the Study:

  • To provide an overview of recent and ongoing developments within the CCP4 software suite.
  • To highlight advancements relevant to high-throughput structural biology studies.
  • To detail improvements in software infrastructure, user interface, and data management.

Main Methods:

  • Review of recent software developments within the CCP4 suite.
  • Focus on infrastructure enhancements enabling seamless program integration and automated workflows.

Related Experiment Videos

  • Discussion of updates to the core software library, graphical user interface, and data management protocols.

    • Main Results:

    • Individual program developments are detailed, with a focus on infrastructure improvements.
    • Enhanced software library facilitates user navigation and automation.
    • Significant advancements in the CCP4 graphical user interface and data management capabilities.

    Conclusions:

    • The CCP4 suite has undergone significant updates, particularly in its infrastructure.
    • These developments are crucial for supporting efficient high-throughput structural biology research.
    • Improved data management is essential for handling large datasets in modern crystallographic studies.