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Updated: Jun 20, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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KING (Kinemage, Next Generation): a versatile interactive molecular and scientific visualization program.

Vincent B Chen1, Ian W Davis, David C Richardson

  • 1Biochemistry Department, Duke University Medical Center, Durham, NC 27710, USA.

Protein Science : a Publication of the Protein Society
|September 22, 2009
PubMed
Summary
This summary is machine-generated.

KiNG is a Java-based visualization tool for scientific data, especially macromolecular structures. It offers a flexible platform for research, education, and creating publications, aiding in understanding spatial relationships.

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Last Updated: Jun 20, 2026

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Area of Science:

  • Structural biology
  • Bioinformatics
  • Scientific visualization

Background:

  • Effective visualization of scientific data is crucial for understanding spatial relationships, particularly in structural biology.
  • Existing visualization programs may lack the speed, flexibility, or customizability required for complex macromolecular structures.

Purpose of the Study:

  • Introduce KiNG, a Java program designed for fast, flexible, and customizable scientific data visualization.
  • Highlight KiNG's utility in macromolecular visualization and its adaptability for various spatially embedded data types.

Main Methods:

  • Developed KiNG as a cross-platform, open-source Java application utilizing the kinemage graphics format.
  • Demonstrated KiNG's extensibility through plug-in modules for specific applications.
  • Showcased applications in protein backbone rebuilding, bioinformatics of high-dimensional data (protein sidechain chi angles), and molecular illustration for education.

Main Results:

  • KiNG provides a mature platform for creating and utilizing scientific visualizations.
  • The program serves as a valuable test bed for novel visualization methods.
  • KiNG is effective for structure browsing, teaching, web display, and generating publication-quality figures and videos.

Conclusions:

  • KiNG is a versatile tool for visualizing scientific data, with a strong focus on structural biology.
  • Its flexibility and extensibility make it suitable for diverse research, bioinformatics, and educational applications.
  • KiNG facilitates the creation of compelling scientific visuals for presentations and publications.