Evidence map›Paper›PMID 17986463›Full record

ArticleNucleic acids research2007

Probing potential binding modes of the p53 tetramer to DNA based on the symmetries encoded in p53 response elements.

Buyong Ma, Arnold J Levine

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2007. 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
1.7field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

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  13. Molecular dynamics simulations of nucleic acid-protein complexes.Current opinion in structural biology · 2008
    Review
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 2 institutions in 1 country.

Buyong MaBasic Research Program, SAIC-Frederick, Inc., Center for Cancer Research Nanobiology Program, NCI-Frederick, Frederick, MD 21702, USA. mab@ncifcrf.gov
Arnold J Levine
Center for Cancer Research · USInstitute for Advanced Study · US

Funding

Intramural NIH HHSNCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400
6 · The paper itself

Abstract

Symmetries in the p53 response-element (p53RE) encode binding modes for p53 tetramer to recognize DNA. We investigated the molecular mechanisms and biological implications of the possible binding modes. The probabilities evaluated with molecular dynamics simulations and DNA sequence analyses were found to be correlated, indicating that p53 tetramer models studied here are able to read DNA sequence information. The traditionally believed mode with four p53 monomers binding at all four DNA quarter-sites does not cause linear DNA to bend. Alternatively, p53 tetramer can use only two monomers to recognize DNA sequence and induce DNA bending. With an arrangement of dimer of AB dimer observed in p53 trimer-DNA complex crystal, p53 can recognize supercoiled DNA sequence-specifically by binding to quarter-sites one and four (H14 mode) and recognize Holliday junction geometry-specifically. Examining R273H mutation and p53-DNA interactions, we found that at least three R273H monomers are needed to disable the p53 tetramer, consistent with experiments. But just one R273H monomer may greatly shift the binding mode probabilities. Our work suggests that p53 needs balanced binding modes to maintain genome stability. Inverse repeat p53REs favor the H14 mode and direct repeat p53REs may have high possibilities of other modes.

Indexed as

Models, MolecularResponse ElementsBinding SitesComputational BiologyComputer SimulationDNADNA, CruciformDNA, SuperhelicalMutationProtein BindingRepetitive Sequences, Nucleic AcidTumor Suppressor Protein p53DNADNA, CruciformDNA, SuperhelicalTumor Suppressor Protein p53

Identifiers

PMID17986463
PMCPMC2190717
OpenAlexW1964933038

What OpenQuestion holds

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Registered trials

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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.