Open Access
Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive
Stephen K. Burley
1, 2, 3
,
Helen M. Berman
1
,
Gerard J. KLEYWEGT
4
,
John L. Markley
5
,
Haruki Nakamura
6
,
Sameer Velankar
4
Publication type: Book Chapter
Publication date: 2017-06-01
scimago Q4
SJR: 0.354
CiteScore: 2.1
Impact factor: —
ISSN: 10643745, 19406029
PubMed ID:
28573592
Abstract
The Protein Data Bank (PDB)––the single global repository of experimentally determined 3D structures of biological macromolecules and their complexes––was established in 1971, becoming the first open-access digital resource in the biological sciences. The PDB archive currently houses ~130,000 entries (May 2017). It is managed by the Worldwide Protein Data Bank organization (wwPDB; wwpdb.org), which includes the RCSB Protein Data Bank (RCSB PDB; rcsb.org), the Protein Data Bank Japan (PDBj; pdbj.org), the Protein Data Bank in Europe (PDBe; pdbe.org), and BioMagResBank (BMRB; www.bmrb.wisc.edu). The four wwPDB partners operate a unified global software system that enforces community-agreed data standards and supports data Deposition, Biocuration, and Validation of ~11,000 new PDB entries annually (deposit.wwpdb.org). The RCSB PDB currently acts as the archive keeper, ensuring disaster recovery of PDB data and coordinating weekly updates. wwPDB partners disseminate the same archival data from multiple FTP sites, while operating complementary websites that provide their own views of PDB data with selected value-added information and links to related data resources. At present, the PDB archives experimental data, associated metadata, and 3D-atomic level structural models derived from three well-established methods: crystallography, nuclear magnetic resonance spectroscopy (NMR), and electron microscopy (3DEM). wwPDB partners are working closely with experts in related experimental areas (small-angle scattering, chemical cross-linking/mass spectrometry, Forster energy resonance transfer or FRET, etc.) to establish a federation of data resources that will support sustainable archiving and validation of 3D structural models and experimental data derived from integrative or hybrid methods.
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Metrics
909
Total citations:
909
Citations from 2024:
419
(46%)
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GOST
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Burley S. K. et al. Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive // Methods in Molecular Biology. 2017. Vol. 1607. pp. 627-641.
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Burley S. K., Berman H. M., KLEYWEGT G. J., Markley J. L., Nakamura H., Velankar S. Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive // Methods in Molecular Biology. 2017. Vol. 1607. pp. 627-641.
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TY - GENERIC
DO - 10.1007/978-1-4939-7000-1_26
UR - https://doi.org/10.1007/978-1-4939-7000-1_26
TI - Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive
T2 - Methods in Molecular Biology
AU - Burley, Stephen K.
AU - Berman, Helen M.
AU - KLEYWEGT, Gerard J.
AU - Markley, John L.
AU - Nakamura, Haruki
AU - Velankar, Sameer
PY - 2017
DA - 2017/06/01
PB - Springer Nature
SP - 627-641
VL - 1607
PMID - 28573592
SN - 1064-3745
SN - 1940-6029
ER -
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@incollection{2017_Burley,
author = {Stephen K. Burley and Helen M. Berman and Gerard J. KLEYWEGT and John L. Markley and Haruki Nakamura and Sameer Velankar},
title = {Protein Data Bank (PDB): The Single Global Macromolecular Structure Archive},
publisher = {Springer Nature},
year = {2017},
volume = {1607},
pages = {627--641},
month = {jun}
}