Since 1971, the Protein Data Bank archive (PDB) has served as the single repository of information about the 3D structures of proteins, nucleic acids, and complex assemblies.
The Worldwide PDB (wwPDB) organization manages the PDB archive and ensures that the PDB is freely and publicly available to the global community.
Celebrating 50 Years of the PDB
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All Deposition Resources
Sustain freely accessible, interoperating Core Archives of structure data and metadata for biological macromolecules as an enduring public good to promote basic and applied research and education across the sciences.
Rich information about all PDB entries, multiple search and browse facilities, advanced services including PDBePISA, PDBeFold and PDBeMotif, advanced visualisation and validation of NMR and EM structures, tools for bioinformaticians.
Collects NMR data from any experiment and captures assigned chemical shifts, coupling constants, and peak lists for a variety of macromolecules; contains derived annotations such as hydrogen exchange rates, pKa values, and relaxation parameters.
Simple and advanced searching for macromolecules and ligands, tabular reports, specialized visualization tools, sequence-structure comparisons, Molecule of the Month and other educational resources at PDB-101, and more.
Collects 3D volumes & associated information of
macromolecular complexes & subcellular structures
from electron cryo microscopy & electron cryo
tomography; develops resources for searching, data
mining, analyzing, validating & visualizing data.
Supports browsing in multiple languages such as Japanese, Chinese, and Korean; SeSAW identifies functionally or evolutionarily conserved motifs by locating and annotating sequence and structural similarities, tools for bioinformaticians, and more.
The Biophysical Society has posted videos highlighting high-impact applications of protein structural data
Join the Royal Society of Chemistry for two webinars on Protein Data Bank at 50: Accessing, Understanding, and Assessing PDB Data
John D. Westbrook Jr. (1957-2021) passed away on October 18, 2021. He was incredibly beloved and respected by his colleagues at Rutgers and throughout the world, known for his dry wit and endless enthusiasm for thinking about all aspects of data and data management.