Evidence map›Paper›PMID 24124530›Full record

ArticlePloS one2013

Structure and stability insights into tumour suppressor p53 evolutionary related proteins.

Bruno Pagano, Abdullah Jama, Pierre Martinez, Ester Akanho, Tam T T Bui, Alex F Drake, Franca Fraternali, Penka V Nikolova

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Structural diversity of p63 and p73 isoforms.Cell death and differentiation · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Analysis of theInternational journal of molecular sciences · 2019
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bruno PaganoKing's College London, School of Biomedical Sciences, Department of Biochemistry & Randall Division of Cell and Molecular Biophysics, New Hunt's House, London, United Kingdom ; Department of Pharmacy, University of Naples "Federico II", Napoli, Italy.
Abdullah Jama
Pierre Martinez
Ester Akanho
Tam T T Bui
Alex F Drake
Franca Fraternali
Penka V Nikolova

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The p53 family of genes and their protein products, namely, p53, p63 and p73, have over one billion years of evolutionary history. Advances in computational biology and genomics are enabling studies of the complexities of the molecular evolution of p53 protein family to decipher the underpinnings of key biological conditions spanning from cancer through to various metabolic and developmental disorders and facilitate the design of personalised medicines. However, a complete understanding of the inherent nature of the thermodynamic and structural stability of the p53 protein family is still lacking. This is due, to a degree, to the lack of comprehensive structural information for a large number of homologous proteins and to an incomplete knowledge of the intrinsic factors responsible for their stability and how these might influence function. Here we investigate the thermal stability, secondary structure and folding properties of the DNA-binding domains (DBDs) of a range of proteins from the p53 family using biophysical methods. While the N- and the C-terminal domains of the p53 family show sequence diversity and are normally targets for post-translational modifications and alternative splicing, the central DBD is highly conserved. Together with data obtained from Molecular Dynamics simulations in solution and with structure based homology modelling, our results provide further insights into the molecular properties of evolutionary related p53 proteins. We identify some marked structural differences within the p53 family, which could account for the divergence in biological functions as well as the subtleties manifested in the oligomerization properties of this family.

Indexed as

Amino Acid SequenceEvolution, MolecularHumansMolecular Sequence DataProtein Processing, Post-TranslationalProtein Structure, SecondaryProtein Structure, TertiaryTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID24124530
PMCPMC3790848

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.