The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
RCSB Protein Data Bank: Enabling biomedical research and drug discovery
Open accessAbstract
Analyses of publicly available structural data reveal interesting insights into the impact of the three‐dimensional (3D) structures of protein targets important for discovery of new drugs (e.g., G‐protein‐coupled receptors, voltage‐gated ion channels, ligand‐gated ion channels, transporters, and E3 ubiquitin ligases). The Protein Data Bank (PDB) archive currently holds > 155,000 atomic‐level 3D structures of biomolecules experimentally determined using crystallography, nuclear magnetic resonance spectroscopy, and electron microscopy. The PDB was established in 1971 as the first open‐access, digital‐data resource in biology, and is now managed by the Worldwide PDB partnership (wwPDB; wwPDB.org ). US PDB operations are the responsibility of the Research Collaboratory for Structural Bioinformatics PDB (RCSB PDB). The RCSB PDB serves millions of RCSB.org users worldwide by delivering PDB data integrated with ∼40 external biodata resources, providing rich structural views of fundamental biology, biomedicine, and energy sciences. Recently published work showed that the PDB archival holdings facilitated discovery of ∼90% of the 210 new drugs approved by the US Food and Drug Administration 2010–2016. We review user‐driven development of RCSB PDB services, examine growth of the PDB archive in terms of size and complexity, and present examples and opportunities for structure‐guided drug discovery for challenging targets (e.g., integral membrane proteins).
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Cited by
Burley, S. K., Bhikadiya, C., Bi, C., Bittrich, S., Chen, L., Crichlow, G. V., Christie, C. H., Dalenberg, K., Di Costanzo, L., Duarte, J. M., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa1038 · Cited by 1,581
“Looking ahead, the PDB archive houses structures of many human proteins that represent drug targets of tomorrow (2), thereby ensuring that structural biologists and structure-guided approaches will continue to facilitate discovery and development of lifechanging medicines for patients and their families.”
BackgroundSelf-citationBurley, S. K., Bhikadiya, C., Bi, C., Bittrich, S., Chao, H., Chen, L., Craig, P. A., Crichlow, G. V., Dalenberg, K., Duarte, J. M., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac1077 · Cited by 887
Self-citationAlphaFold2 models indicate that protein sequence determines both structure and dynamics
Guo, H.-B., Perminov, A., Bekele, S., Kedziora, G., Farajollahi, S., Varaljay, V., Hinkle, K., Molinero, V., Meister, K., Hung, C., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-14382-9 · Cited by 248
(2024) · doi:10.1038/s41467-024-52146-3 · Cited by 32
GTalign: spatial index-driven protein structure alignment, superposition, and search
(2024) · doi:10.1038/s41467-024-51669-z · Cited by 23
Metadata
- Authors
- Goodsell, D. S., Zardecki, C., Di Costanzo, L., Duarte, J. M., Hudson, B. P., Persikova, I., Segura, J., Shao, C., Voigt, M., Westbrook, J. D., Young, J. Y., & Burley, S. K.
- Venue
- Protein Science
- Publisher
- Wiley
- Published
- 2019-11-29
- Volume
- 29
- Issue
- 1
- Pages
- 52-65
- ISSN
- 0961-8368 (ISSN-L)
- 1469-896X
- OpenAlex
- W2973523639
- Cited by
- 353
- References
- 110
- FWCI
- 15.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Goodsell, D. S., Zardecki, C., Di Costanzo, L., Duarte, J. M., Hudson, B. P., Persikova, I., Segura, J., Shao, C., Voigt, M., Westbrook, J. D., Young, J. Y., & Burley, S. K. (2020). RCSB Protein Data Bank: Enabling biomedical research and drug discovery. Protein Science. https://doi.org/10.1002/pro.3730
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