Evidence map›Paper›PMID 24253321›Full record

ArticleJournal of molecular modeling2013

QM-MM simulations on p53-DNA complex: a study of hot spot and rescue mutants.

Shruti Koulgi, Archana Achalere, Neeru Sharma, Uddhavesh Sonavane, Rajendra Joshi

Abstract read
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Article in Journal of molecular modeling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Shruti KoulgiBioinformatics Group, Centre for Development of Advanced Computing (C-DAC), Pune University Campus, Pune, India, 411 007.
Archana Achalere
Neeru Sharma
Uddhavesh Sonavane
Rajendra Joshi
Centre for Development of Advanced Computing · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

p53 is a transcription factor involved in the expression of a number of downstream genes in response to genotoxic stress. It is activated through post translation modifications in normal as well as cancerous cells. However, due to mutations occurring in p53 in cancer cells it is not able to perform its function of DNA binding which leads to cell proliferation. It is found to be mutated in 50% of the cancers. These mutations occur at a high frequency in the DNA binding region of the p53. Among the known seven hot spot cancer mutations G245S, R249S, and R273C have been studied here using quantum mechanics and molecular mechanics (QM-MM) simulations. These mutations along with their experimentally proven rescue mutations have also been included in the present work. A comparative study of these cancer mutations along with wild type and their rescue mutations has been performed. A computational measure based on the free energy changes occurring in the binding of the p53 to the DNA has been presented. A correlation between the DNA binding property and important interaction between p53 and DNA has been observed for all the mutants. The keys residues which contribute to the binding of p53 to DNA by forming crucial hydrogen bonds have also been discussed in detail. A 30 ns simulation study was analyzed to observe the local structural changes and DNA binding property of p53 in case of wild type, cancer and rescue mutants.

Indexed as

Binding SitesCell ProliferationDNADNA-Binding ProteinsHumansMolecular Dynamics SimulationMutationNeoplasmsProtein BindingProtein Structure, TertiaryQuantum TheoryTumor Suppressor Protein p53DNADNA-Binding ProteinsTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID24253321
OpenAlexW2056344789

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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.