The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The RCSB Protein Data Bank: new resources for research and education
Open accessAbstract
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) develops tools and resources that provide a structural view of biology for research and education. The RCSB PDB web site (http://www.rcsb.org) uses the curated 3D macromolecular data contained in the PDB archive to offer unique methods to access, report and visualize data. Recent activities have focused on improving methods for simple and complex searches of PDB data, creating specialized access to chemical component data and providing domain-based structural alignments. New educational resources are offered at the PDB-101 educational view of the main web site such as Author Profiles that display a researcher's PDB entries in a timeline. To promote different kinds of access to the RCSB PDB, Web Services have been expanded, and an RCSB PDB Mobile application for the iPhone/iPad has been released. These improvements enable new opportunities for analyzing and understanding structure data.
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Citations
Cites
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Self-citation
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Finn, R. D., Bateman, A., Clements, J., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Heger, A., Hetherington, K., Holm, L., Mistry, J., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1223 · Cited by 6,148
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Self-citationWidespread macromolecular interaction perturbations in human genetic disorders
Sahni, N., Yi, S., Taipale, M., Fuxman Bass, J. I., Coulombe-Huntington, J., Yang, F., Peng, J., Weile, J., Karras, G. I., Wang, Y., et al. (2015) · Cell · doi:10.1016/j.cell.2015.04.013 · Cited by 594
NGL Viewer: a web application for molecular visualization
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DNASU plasmid and PSI: biology-materials repositories: resources to accelerate biological research
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Spatiotemporal-resolved protein networks profiling with photoactivation dependent proximity labeling
Zhai, Y., Huang, X., Zhang, K., Huang, Y., Jiang, Y., Cui, J., Zhang, Z., Chiu, C. K. C., Zhong, W., & Li, G. (2022) · Nature Communications · doi:10.1038/s41467-022-32689-z · Cited by 102
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Hybrid Network Model for “Deep Learning” of Chemical Data: Application to Antimicrobial Peptides
Schneider, P., Müller, A. T., Gabernet, G., Button, A. L., Posselt, G., Wessler, S., Hiss, J. A., & Schneider, G. (2017) · Molecular Informatics · doi:10.1002/minf.201600011 · Cited by 52
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Metadata
- Authors
- Rose, P. W., Bi, C., Bluhm, W. F., Christie, C. H., Dimitropoulos, D., Dutta, S., Green, R. K., Goodsell, D. S., Prlić, A., Quesada, M., Quinn, G. B., Ramos, A. G., Westbrook, J. D., Young, J., Zardecki, C., Berman, H. M., & Bourne, P. E.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-11-26
- Volume
- 41
- Issue
- D1
- Pages
- D475-D482
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2168708922
- Cited by
- 527
- References
- 4
- FWCI
- 31.28
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.