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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Updated: Nov 3, 2025

Modeling an Enzyme Active Site using Molecular Visualization Freeware
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PDBe aggregated API: programmatic access to an integrative knowledge graph of molecular structure data.

Sreenath Nair1, Mihály Váradi1, Nurul Nadzirin1

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

Bioinformatics (Oxford, England)
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PubMed
Summary

The PDBe aggregated API offers open access to macromolecular structural data and functional annotations via a graph database. This tool aids in answering complex biological questions using integrated biological data resources.

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Area of Science:

  • Structural Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Macromolecular structural data is crucial for understanding biological processes.
  • Accessing and integrating diverse biological data remains a challenge for researchers.

Purpose of the Study:

  • To provide programmatic access to integrated macromolecular structural data and annotations.
  • To enable complex biological question answering through an integrative knowledge graph.

Main Methods:

  • Development of a RESTful API powered by the PDBe graph database.
  • Integration of data from Protein Data Bank, UniProt, Pfam, CATH, SCOP, and PDBe-KB.
  • Weekly data releases ensuring up-to-date information.

Main Results:

  • The PDBe aggregated API offers over 80 endpoints for data retrieval.
  • The API provides programmatic access to a comprehensive graph database.
  • The system integrates structural data with functional and biophysical annotations.

Conclusions:

  • The PDBe aggregated API serves as a valuable open-access resource for biological research.
  • The integrated knowledge graph facilitates discovery and complex data analysis.
  • The open-source nature promotes accessibility and community contribution.