Generated by GPT-5-mini| RCSB Protein Data Bank | |
|---|---|
| Name | RCSB Protein Data Bank |
| Formation | 1971 |
| Headquarters | Rutgers University, University of California, San Diego |
| Leader title | Director |
| Leader name | Stephen K. Burley |
| Website | RCSB.org |
RCSB Protein Data Bank
The RCSB Protein Data Bank is a major biological repository for three-dimensional structural data of biological macromolecules, serving researchers at institutions such as Harvard University, Massachusetts Institute of Technology, Stanford University, University of Oxford, and University of Cambridge. It interfaces with international efforts including the Worldwide Protein Data Bank consortium and supports global initiatives involving organizations like the National Institutes of Health, National Science Foundation, European Molecular Biology Laboratory, Japan Agency for Medical Research and Development, and Wellcome Trust. The resource underpins work at laboratories that study targets such as the hemoglobin tetramer, ribosome, DNA polymerase I, HIV-1 reverse transcriptase, and spike glycoprotein complexes.
The RCSB Protein Data Bank operates as part of a distributed network with partners including Protein Data Bank Japan, Protein Data Bank in Europe, Cambridge Crystallographic Data Centre, and national facilities like Brookhaven National Laboratory and Lawrence Berkeley National Laboratory. Its holdings encompass structures determined by techniques used at facilities like the Stanford Synchrotron Radiation Lightsource, European Synchrotron Radiation Facility, and Diamond Light Source, and integrate models from computational centers at Argonne National Laboratory and Oak Ridge National Laboratory. The portal supports users ranging from investigators at Cold Spring Harbor Laboratory to clinicians at Mayo Clinic and students at University of California, Berkeley.
Origins trace to initiatives led by scientists associated with Brookhaven National Laboratory, Walter Hamilton (biochemist), and collaborators at Oxford University Press during the early 1970s, coinciding with structural breakthroughs at institutions such as Max Planck Institute and Weizmann Institute of Science. Subsequent development involved coordination with agencies including the National Research Council and policy discussions reflected in meetings at Cold Spring Harbor Laboratory and symposia held by the Royal Society. Expansion through the 1990s and 2000s linked the archive to computational efforts from groups at Scripps Research Institute, European Bioinformatics Institute, and Riken, while funding and governance evolved with contributions from the U.S. Department of Energy, Howard Hughes Medical Institute, and private foundations like the Gordon and Betty Moore Foundation.
The archive stores atomic coordinates, experimental data, and metadata for entities such as enzymes, receptors, nucleic acids, and complexes studied at centers like the Institute Pasteur and Max Delbrück Center for Molecular Medicine. Records embody standards agreed with organizations including International Union of Crystallography and software developed by teams at University of California, San Francisco and European Molecular Biology Laboratory-European Bioinformatics Institute. Typical entries describe molecules comparable to those investigated by researchers at Yale University, Columbia University, University of Michigan, and Johns Hopkins University, and reference experimental methods used at facilities like Brookhaven National Laboratory beamlines and KEK synchrotrons.
RCSB provides search, visualization, and analysis platforms used by investigators at Cambridge University, Massachusetts General Hospital, Imperial College London, and ETH Zurich. Interactive viewers build on toolkits developed by teams at Schrödinger, OpenEye Scientific, UCSF, and community projects from European Bioinformatics Institute. Data retrieval supports programmatic access used in pipelines at organizations including Novartis, Pfizer, Roche, and academic groups at University of Toronto and Karolinska Institutet. Educational resources target faculty and students at Princeton University, Duke University, and University of Chicago.
Deposit workflows align with policies from funders such as the National Institutes of Health, Wellcome Trust, and European Commission, and are followed by contributors from laboratories at Harvard Medical School, University of Pennsylvania, and University of California, San Diego. Curation teams apply validation criteria influenced by standards from the International Union of Crystallography and community groups including the Worldwide Protein Data Bank governance. The process interacts with structural biology software developed at institutions like University of Cambridge and EMBL and with preprint and publication venues such as Nature, Science (journal), Cell (journal), and Proceedings of the National Academy of Sciences.
Data distribution practices reflect open-data principles endorsed by entities such as the National Science Foundation, European Research Council, and philanthropic stakeholders including the Bill & Melinda Gates Foundation. Downloads and bulk access feed research at companies like Genentech and consortia such as the Structural Genomics Consortium and are mirrored by archives maintained at Protein Data Bank Japan and Protein Data Bank in Europe. Licensing terms are designed to permit reuse in academic projects at MIT, commercial projects at AstraZeneca, and educational initiatives at UNESCO-affiliated programs.
The repository supports drug discovery at firms like Merck & Co., vaccine design programs at Moderna, and structural studies by investigators at Broad Institute and European Molecular Biology Laboratory. It has enabled landmark analyses of macromolecules studied in centers including Cold Spring Harbor Laboratory and Scripps Research Institute, contributed to computational efforts at DeepMind and Rosetta Commons, and underpins curricula at universities such as Cornell University and Brown University. The archive’s integration with global research infrastructure continues to influence projects involving public health agencies like Centers for Disease Control and Prevention and international collaborations coordinated through organizations such as the World Health Organization.
Category:Biological databases