This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| BioMagResBank | |
|---|---|
| Name | BioMagResBank |
| Formation | 1988 |
| Type | Database; Research Infrastructure |
| Headquarters | University of Wisconsin–Madison |
| Region served | Worldwide |
BioMagResBank is a public repository for nuclear magnetic resonance (NMR) spectroscopic data related to biomolecules, providing curated datasets, metadata, and software tools to support structural biology, biochemistry, pharmacology, and computational modeling. It serves researchers producing NMR assignments, restraints, and spectra for proteins, nucleic acids, carbohydrates, and small molecules, and interfaces with structural archives and bioinformatics resources to promote reproducibility and data reuse. The resource underpins workflows spanning experimental design, structure determination, validation, and deposition in complementary repositories.
BioMagResBank operates as a central archive for NMR-derived experimental data and annotations, connecting to Protein Data Bank, European Bioinformatics Institute, National Center for Biotechnology Information, International Union of Pure and Applied Chemistry, International Union of Crystallography, World Health Organization, and other scientific institutions to support cross-referenced records. It catalogs spectra, chemical shift assignments, coupling constants, relaxation data, and distance restraints associated with entries that may link to structural coordinates deposited in repositories such as RCSB PDB, PDBe, and PDBj. The resource supports users from academic laboratories, pharmaceutical companies, and national research centers including National Institutes of Health, Max Planck Society, and Lawrence Berkeley National Laboratory.
The archive originated from collaborative efforts involving investigators at the University of Wisconsin–Madison and international NMR groups responding to growing needs for standardized spectral deposition during the late 1980s and 1990s, paralleling developments at Brookhaven National Laboratory and initiatives led by Molecular Biology Consortium partners. Over time, governance evolved through partnerships with organizations such as Research Collaboratory for Structural Bioinformatics, Protein Data Bank in Europe, and funding agencies like National Science Foundation and National Institute of General Medical Sciences. Key milestones include adoption of standardized deposition formats influenced by working groups at International Union of Pure and Applied Chemistry meetings and integration with community standards shaped by consortia including the Worldwide Protein Data Bank.
Records include a range of NMR-derived data types: chemical shift lists, multidimensional NMR spectra, NOE-derived restraints, J-coupling values, relaxation parameters (T1, T2, NOE), and derived structure ensembles often linked to coordinate files in structural archives. Entries cover biomolecular classes such as proteins, RNA, DNA, carbohydrates, lipids, and small ligands relevant to projects at Genentech, Pfizer, Merck, and academic groups at Harvard University and Massachusetts Institute of Technology. Metadata fields capture experimental conditions, isotope labeling schemes, solvent systems, temperature, pH, and instrument parameters tied to manufacturers like Bruker and JEOL spectrometers.
Submission workflows provide templates and deposition pipelines compatible with community formats developed by committees convened at venues such as Gordon Research Conferences and standards groups including International NMR Education Committee. Curators review deposits for completeness, consistency, and linkage to structural records in repositories such as Protein Data Bank. Quality control checks align with validation practices promoted by organizations like International Union of Crystallography and publishers including Nature, Science, and Journal of the American Chemical Society, facilitating reproducible reporting for authors at institutions like University of Cambridge and Stanford University.
The resource provides web-based search, programmatic access via APIs, and compatibility with analysis software such as NMRPipe, Sparky, CARA, CYANA, and molecular visualization tools like PyMOL, UCSF Chimera, and VMD. Services include spectrum viewers, chemical shift mapping, restraint visualization, and deposition assistants used by researchers from European Molecular Biology Laboratory, Cold Spring Harbor Laboratory, and industrial research groups. Integration enables workflows linking to computational platforms including Rosetta, GROMACS, and AMBER for modeling and refinement.
The archive implements community-developed formats such as NMR-STAR and exchanges metadata with ontologies and vocabularies coordinated by Gene Ontology, Chemical Entities of Biological Interest (ChEBI), and identifiers managed by Digital Object Identifier systems. Interoperability with structural and chemical resources including PubChem, UniProt, SCOP, CATH, and the Protein Data Bank ecosystem ensures consistent cross-references for biomolecular annotations, provenance tracking for projects funded by European Research Council and national agencies, and adherence to FAIR data principles advocated by Research Data Alliance.
The repository has enabled advances in structural genomics, drug discovery, metabolomics, and dynamics studies by supporting reproducible deposition and reuse of NMR data for targets investigated at centers such as Structural Genomics Consortium, European Molecular Biology Laboratory, Janelia Research Campus, and pharmaceutical research groups. Its datasets underpin methods development in chemical shift prediction, machine learning approaches at organizations like DeepMind, ensemble modeling techniques used by EMBL-EBI groups, and validation studies cited in high-impact journals including Nature Structural & Molecular Biology and Proceedings of the National Academy of Sciences. The archive's role in linking experimental NMR data to structural coordinates continues to facilitate collaborations among academic labs, consortia, and industry partners worldwide.
Category:Biological databases