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Related Experiment Videos

RCSB Protein Data Bank 1D tools and services.

Joan Segura1, Yana Rose1, John Westbrook1,2,3

  • 1Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, CA 92093, USA.

Bioinformatics (Oxford, England)
|December 14, 2020
PubMed
Summary

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We developed new tools to link polymer sequence and structural data from major databases. This improves understanding of protein and gene features for better biomolecular function insights.

Area of Science:

  • Structural Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Interoperability between polymer sequences and structural data is crucial for understanding protein and gene features.
  • A complete picture of biomolecular function relies on integrating diverse biological data.

Purpose of the Study:

  • To present novel resources that enhance data interoperability between key biological databases.
  • To facilitate the visualization of integrated data for improved biological insights.

Main Methods:

  • Development of tools for mapping between different coordinate spaces.
  • Implementation of an interactive web-based tool for visualizing 1-dimensional data.

Main Results:

  • Two resources were created to improve data integration between RCSB Protein Data Bank, NCBI, and UniProtKB.

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  • Flexible mapping tools enable seamless data correlation.
  • Interactive visualization aids in understanding complex biological data.

    • Conclusions:

    • The presented resources significantly improve data interoperability in structural biology.
    • Enhanced data integration and visualization contribute to a deeper understanding of biomolecular function.