The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Biological inorganic chemistry at the beginning of the 21st century
Open accessAbstract
Advances in bioinorganic chemistry since the 1970s have been driven by three factors: rapid determination of high-resolution structures of proteins and other biomolecules, utilization of powerful spectroscopic tools for studies of both structures and dynamics, and the widespread use of macromolecular engineering to create new biologically relevant structures. Today, very large molecules can be manipulated at will, with the result that certain proteins and nucleic acids themselves have become versatile model systems for elucidating biological function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Enterobactin: an archetype for microbial iron transport.
Raymond, K. N., Dertz, E. A., & Kim, S. S. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0630018100 · Cited by 933
Cited by
In vitro selection of a sodium-specific DNAzyme and its application in intracellular sensing
Torabi, S.-F., Wu, P., McGhee, C. E., Chen, L., Hwang, K., Zheng, N., Cheng, J., & Lu, Y. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420361112 · Cited by 347
Synthetic Analogues of Cysteinate-Ligated Non-Heme Iron and Non-Corrinoid Cobalt Enzymes
Kovacs, J. A. (2004) · Chemical Reviews · doi:10.1021/cr020619e · Cited by 273
DisDock : A Deep Learning Method for Metal Ion‐Protein Redocking
Lin, M., Li, K., Zhang, Y., Pan, F., Wu, W., & Zhang, J. (2025) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.26791 · Cited by 1
Metadata
- Authors
- Gray, H. B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-03-25
- Volume
- 100
- Issue
- 7
- Pages
- 3563-3568
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1969076017
- Cited by
- 162
- References
- 1
- FWCI
- 5.06
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Biological inorganic chemistry at the beginning of the 21st century. https://app.cochat.ai/papers/10.1073/pnas.0730378100
- The paper
- Gray, H. B. (2003). Biological inorganic chemistry at the beginning of the 21st century. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0730378100
Data sources
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.