Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 171

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Proteins of the S100 family regulate the oligomerization of p53 tumor suppressor

Open access
Fernandez-Fernandez, Maria Rosario, Veprintsev, Dmitry B., Fersht, Alan R.·2005·Proceedings of the National Academy of Sciences

Abstract

S100B protein is elevated in the brains of patients with early stages of Alzheimer's disease and Down's syndrome. S100A4 is correlated with the development of metastasis. Both proteins bind to p53 tumor suppressor. We found that both S100B and S100A4 bind to the tetramerization domain of p53 (residues 325-355) only when exposed in lower oligomerization states and so they disrupt the tetramerization of p53. In addition, S100B binds to the negative regulatory and nuclear localization domains, which results in a very tight binding to p53 protein sequences that exposed the tetramerization domain in their C terminus. Because the trafficking of p53 depends on its oligomerization state, we suggest that S100B and S100A4 could regulate the subcellular localization of p53. But, the differences in the way these proteins bind to p53 could result in S100B and S1004 having different effects on p53 function in cell-cycle control.

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.0501459102

Cites

4 of 4 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

Cites

Show all 4 references

Cited by

See all 171

Metadata

Authors
Fernandez-Fernandez, M. R., Veprintsev, D. B., & Fersht, A. R.
Venue
Proceedings of the National Academy of Sciences
Published
2005-03-21
Volume
102
Issue
13
Pages
4735-4740
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1989949372
Cited by
171
References
4
FWCI
4.72
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: Proteins of the S100 family regulate the oligomerization of p53 tumor suppressor. https://app.cochat.ai/papers/10.1073/pnas.0501459102
The paper
Fernandez-Fernandez, M. R., Veprintsev, D. B., & Fersht, A. R. (2005). Proteins of the S100 family regulate the oligomerization of p53 tumor suppressor. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0501459102

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.