Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 193

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Ferredoxin and ferredoxin–heme maquettes

Open access
Gibney, Brian R., Mulholland, Stephen E., Rabanal, Francesc, Dutton, P. Leslie·1996·Proceedings of the National Academy of Sciences

Abstract

A 16-amino acid residue peptide derived from a consensus motif of natural ferredoxins incorporates a tetranuclear iron sulfur cluster under physiological conditions. Successful assembly of the [4Fe–4S] 2+/1+ cluster within a monomeric peptide was demonstrated using size exclusion chromatography, UV-visible, visible CD, and cryogenic EPR spectroscopies. The robustness of [4Fe–4S] 2+/1+ formation was tested using peptides with either the ligating cysteine exchanged for alanine or with the intervening amino acids replaced by glycine. The small size of the peptide allows for modular incorporation into more complex protein structures. In one larger structure, we describe a tetra-α-helix bundle that self-assembles both iron–sulfur clusters and hemes, thereby demonstrating feasibility for the general synthesis of maquettes containing multiple, juxtaposed redox cofactors. This is a motif common to the catalytic sites of native oxidoreductases.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.93.26.15041

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 193

Metadata

Authors
Gibney, B. R., Mulholland, S. E., Rabanal, F., & Dutton, P. L.
Venue
Proceedings of the National Academy of Sciences
Published
1996-12-24
Volume
93
Issue
26
Pages
15041-15046
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2064499093
Cited by
193
References
1
FWCI
11.36
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: Ferredoxin and ferredoxin–heme maquettes. https://app.cochat.ai/papers/10.1073/pnas.93.26.15041
The paper
Gibney, B. R., Mulholland, S. E., Rabanal, F., & Dutton, P. L. (1996). Ferredoxin and ferredoxin–heme maquettes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.93.26.15041

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.