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Drugging p53 in cancer: one protein, many targets

Hassin, Ori, Oren, Moshe·2023·Nature Reviews Drug Discovery

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Cited by

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Metadata

Authors
Hassin, O., & Oren, M.
Venue
Nature Reviews Drug Discovery
Published
2022-10-10
Volume
22
Issue
2
Pages
127-144
ISSN
  • 1474-1776
  • 1474-1784
Cited by
697
References
54
Language
en
Licence

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 ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Drugging p53 in cancer: one protein, many targets. https://app.cochat.ai/papers/10.1038/s41573-022-00571-8
The paper
Hassin, O., & Oren, M. (2023). Drugging p53 in cancer: one protein, many targets. Nature Reviews Drug Discovery. https://doi.org/10.1038/s41573-022-00571-8

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.