Evidence map›Paper›PMID 18234719›Full record

ArticleNucleic acids research2008

Algorithm for prediction of tumour suppressor p53 affinity for binding sites in DNA.

Dmitry B Veprintsev, Alan R Fersht

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

74 citing papers in PubMed, 110 citations in OpenAlex.

  1. Article
  2. Article
  3. p53motifDB: integration of genomic information and tumour suppressor p53 binding motifs.Database : the journal of biological databases and curation · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Host-pathogen protein-nucleic acid interactions: A comprehensive review.Computational and structural biotechnology journal · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Rich World of p53 DNA Binding Targets: The Role of DNA Structure.International journal of molecular sciences · 2019
    Review
  16. The multiple mechanisms that regulate p53 activity and cell fate.Nature reviews. Molecular cell biology · 2019
    Review
  17. Article
  18. Revealing a human p53 universe.Nucleic acids research · 2018
    Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Dmitry B VeprintsevMRC Centre for Protein Engineering, Cambridge, CB2 0QH, UK. dbv@mrc-lmb.cam.ac.uk
Alan R Fersht
MRC Laboratory of Molecular Biology · GB

Funding

Medical Research Council MC_U105474168
6 · The paper itself

Abstract

The tumour suppressor p53 is a transcription factor that binds DNA in the vicinity of the genes it controls. The affinity of p53 for specific binding sites relative to other DNA sequences is an inherent driving force for specificity, all other things being equal. We measured the binding affinities of systematically mutated consensus p53 DNA-binding sequences using automated fluorescence anisotropy titrations. Based on measurements of the effects of every possible single base-pair substitution of a consensus sequence, we defined the DNA sequence with the highest affinity for full-length p53 and quantified the effects of deviation from it on the strength of protein-DNA interaction. The contributions of individual nucleotides were to a first approximation independent and additive. But, in some cases we observed significant deviations from additivity. Based on affinity data, we constructed a binding predictor that mirrored the existing p53 consensus sequence definition. We used it to search for high-affinity binding sites in the genome and to predict the effects of single-nucleotide polymorphisms in these sites. Although there was some correlation between the K(d) and biological function, the spread of the K(d)s by itself was not sufficient to explain the activation of different pathways by changes in p53 concentration alone.

Indexed as

AlgorithmsResponse ElementsBase SequenceBinding SitesConsensus SequenceDNAFluorescence PolarizationGenomicsPolymorphism, Single NucleotideTumor Suppressor Protein p53DNATumor Suppressor Protein p53

Identifiers

PMID18234719
PMCPMC2275157
OpenAlexW2130885391

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.