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A visual data flow environment for macromolecular crystallographic computing

D L Wild1, P A Tucker, S Choe

  • 1Structural Biology Laboratory, Salk Institute, La Jolla, California 92037, USA. wild@sbl.salk.edu

Journal of Molecular Graphics
|October 1, 1995
PubMed
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This study integrates CCP4 crystallography programs into the AVS visualization system, enabling interactive display of crystallographic data like electron density maps. This enhances data analysis for macromolecular crystallography researchers.

Area of Science:

  • Macromolecular Crystallography
  • Scientific Visualization
  • Computational Biology

Background:

  • The CCP4 suite is a widely used package for macromolecular crystallography.
  • Existing visualization tools may lack integration with crystallographic calculation pipelines.
  • Data flow visualization environments offer intuitive interfaces for complex data.

Purpose of the Study:

  • To integrate CCP4 programs into the Application Visualization System (AVS).
  • To leverage AVS's graphical user interface and visualization tools for crystallographic data.
  • To create a more interactive and automated workflow for crystallographic analysis.

Main Methods:

  • Encapsulating individual CCP4 Fortran 77 programs into AVS macro modules.
  • Utilizing named pipes for passing parameters and intercepting output between modules.

Related Experiment Videos

  • Linking modules in a data flow network to mirror crystallographic calculation processes.

    • Main Results:

    • Successful integration of CCP4 programs within the AVS environment.
    • Enabling visualization of crystallographic data, including electron density and Patterson maps.
    • Facilitating both automated and interactive data analysis workflows.

    Conclusions:

    • The integration provides a powerful, user-friendly platform for macromolecular crystallography.
    • This approach enhances the display and analysis of crystallographic results.
    • It offers a flexible framework for complex computational crystallography tasks.