The DOI matches its Crossref record; 75 of the 80 references it cites were found in a registry or an index.
RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences
Open accessAbstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), the US data center for the global PDB archive and a founding member of the Worldwide Protein Data Bank partnership, serves tens of thousands of data depositors in the Americas and Oceania and makes 3D macromolecular structure data available at no charge and without restrictions to millions of RCSB.org users around the world, including >660 000 educators, students and members of the curious public using PDB101.RCSB.org. PDB data depositors include structural biologists using macromolecular crystallography, nuclear magnetic resonance spectroscopy, 3D electron microscopy and micro-electron diffraction. PDB data consumers accessing our web portals include researchers, educators and students studying fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences. During the past 2 years, the research-focused RCSB PDB web portal (RCSB.org) has undergone a complete redesign, enabling improved searching with full Boolean operator logic and more facile access to PDB data integrated with >40 external biodata resources. New features and resources are described in detail using examples that showcase recently released structures of SARS-CoV-2 proteins and host cell proteins relevant to understanding and addressing the COVID-19 global pandemic.
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“the experimentally determined structures of ~100,000 proteins1 represent a very small fraction of the size and diversity of the universe of proteins.”
From A structural biology community assessment of AlphaFold2 applications (2022) · cites this paper as [1]
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Self-citation
Research works printed but not linked: 3
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Items 1,001–1,004 of 1,004
Banach, M. (2021) · Crystals · doi:10.3390/cryst11121539 · Cited by 3
Zeng, R., Ke, T.-C., Ou, M.-T., Duan, L.-L., Li, Y., Chen, Z., Xing, Z., Fu, X., Huang, C.-Y., & Wang, J. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.944735 · Cited by 3
Chang, C., Feng, W., Sun, M., Yu, X., & Sun, Z. (2022) · Computational and Mathematical Methods in Medicine · doi:10.1155/2022/4237040 · Cited by 3
RetractedOuellet, S., Ferguson, L., Lau, A. Z., & Lim, T. K. Y. (2022) · doi:10.1101/2022.09.17.508377
Metadata
- Authors
- 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., Dutta, S., Feng, Z., Ganesan, S., Goodsell, D. S., Ghosh, S., Green, R. K., Guranović, V., Guzenko, D., Hudson, B. P., Lawson, C. L., Liang, Y., Lowe, R., Namkoong, H., Peisach, E., Persikova, I., Randle, C., Rose, A., Rose, Y., Sali, A., Segura, J., Sekharan, M., Shao, C., Tao, Y.-P., Voigt, M., Westbrook, J. D., Young, J. Y., Zardecki, C., & Zhuravleva, M.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- San Diego Supercomputer Center (US)
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, La Jolla, CA 92093, USA
- University of California, San Francisco (US)
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Department of Biotherapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA
- Corresponding author
- Burley, Stephen K
- ORCID
- Burley, Stephen K
- Bhikadiya, Charmi
- Bittrich, Sebastian
- Chen, Li
- Crichlow, Gregg V
- Duarte, Jose M
- Dutta, Shuchismita
- Feng, Zukang
- Ganesan, Sai
- Goodsell, David S
- Ghosh, Sutapa
- Guranović, Vladimir
- Guzenko, Dmytro
- Hudson, Brian P
- Lawson, Catherine L
- Liang, Yuhe
- Peisach, Ezra
- Persikova, Irina
- Rose, Alexander
- Rose, Yana
- Segura, Joan
- Sekharan, Monica
- Shao, Chenghua
- Voigt, Maria
- Westbrook, John D
- Young, Jasmine Y
- Zardecki, Christine
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-11-19
- Volume
- 49
- Issue
- D1
- Pages
- D437-D451
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC7779003
- OpenAlex
- W3104537585
- Cited by
- 1,581
- References
- 80
- Citations by year
- 2026: 188 · 2025: 196 · 2024: 272 · 2023: 352 · 2022: 374 · 2021: 194 · 2020: 3
- FWCI
- 91.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Science Foundation (DBI-1832184)
- U.S. Department of Energy (DE-SC0019749)
- National Cancer Institute
- National Institute of Allergy and Infectious Diseases
- National Institute of General Medical Sciences (R01GM133198)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- structural bioinformatics, Boolean search, SARS-CoV-2 proteins, COVID-19 pandemic, host cell proteins, macromolecular crystallography, NMR spectroscopy, 3D electron microscopy, micro-electron diffraction, structural biology education
- MeSH terms
- COVID-19, SARS-CoV-2, Biotechnology, Humans, Protein Conformation, Proteins, Software, Viral Proteins, Computational Biology, Databases, Protein, Biomedical Research, Macromolecular Substances, Bioengineering, Pandemics
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