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Related Concept Videos

X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays areĀ  scattered by the electron clouds around the sample atoms. TheĀ  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal crystal...

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Updated: Jun 13, 2026

Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
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PDBImages: a command-line tool for automated macromolecular structure visualization.

Adam Midlik1, Sreenath Nair1, Stephen Anyango1

  • 1Protein Data Bank in Europe, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, United Kingdom.

Bioinformatics (Oxford, England)
|December 12, 2023
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Summary
This summary is machine-generated.

PDBImages is a new open-source tool that generates high-quality images of macromolecule structures from PDB and AlphaFold DB. It offers automated, browserless image rendering for enhanced bioinformatics analysis and sharing.

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Area of Science:

  • Bioinformatics
  • Structural Biology
  • Computational Chemistry

Background:

  • Macromolecular structure visualization is crucial for understanding biological processes.
  • Existing tools may lack automated or browserless image generation capabilities.
  • The Protein Data Bank (PDB) and AlphaFold Protein Structure Database (AlphaFold DB) contain vast amounts of structural data.

Purpose of the Study:

  • To introduce PDBImages, an open-source Node.js package for generating images of macromolecular structures.
  • To provide a streamlined and automated method for visualizing PDB and AlphaFold DB models.
  • To facilitate the analysis and sharing of structural data within the scientific community.

Main Methods:

  • Development of an open-source Node.js package named PDBImages.
  • Integration with the Mol* visualization software.
  • Implementation of a browserless mode for direct image file rendering.
  • Enumeration of diverse image types and user-friendly setup procedures.

Main Results:

  • PDBImages enables the generation of high-quality images for PDB and AlphaFold DB models.
  • The package offers automated, browserless image rendering, simplifying workflows.
  • A user-friendly setup and diverse image options are provided.

Conclusions:

  • PDBImages provides a powerful and accessible tool for macromolecular structure visualization.
  • The package enhances researchers' ability to analyze and share structural data.
  • PDBImages fosters a deeper understanding in bioinformatics and related fields.