Evidence map›Paper›PMID 30192754›Full record

ArticlePloS one2018

Virtual screening using covalent docking to find activators for G245S mutant p53.

Sara Ibrahim Omar, Marco Gaetano Lepre, Umberto Morbiducci, Marco Agostino Deriu, Jack A Tuszynski

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
1.1field-weighted citation impact, top 20% 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.

  1. Review
  2. Review
  3. Review
  4. Frontiers in chemistry · 2020
    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

5 authors at 3 institutions in 3 countries.

Sara Ibrahim OmarDepartment of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.ORCID 0000-0002-0133-3531
Marco Gaetano LepreDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.
Umberto MorbiducciDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.ORCID 0000-0002-9854-1619
Marco Agostino DeriuDepartment of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.
Jack A TuszynskiDepartment of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Politecnico di Torino · ITUniversity of Alberta · CAUniversity of Applied Sciences and Arts of Southern Switzerland · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TP53 is the most mutated gene in all cancers. The mutant protein also accumulates in cells. The high frequency of p53 mutations makes the protein a promising target for anti-cancer therapy. Only a few molecules have been found, using in vitro screening, to reactivate the mutant protein. APR-246 is currently the most successful mutant p53 activator, which reactivates the transcriptional activity of p53 by covalently binding to C124 of the protein. We have recently created in silico models of G245S-mp53 in its apo and DNA-bound forms. In this paper we further report on our in silico screening for potential activators of G245S-mp53. We filtered the ZINC15 database (13 million compounds) to only include drug-like molecules with moderate to standard reactivity. Our filtered database of 130,000 compounds was screened using the DOCKTITE protocol in the Molecular Operating Environment software. We performed covalent docking at C124 of G245S-mp53 to identify potential activators of the mutant protein. The docked compounds were ranked using a consensus scoring approach. We also used ADMET Predictor™ to predict pharmacokinetics and the possible toxicities of the compounds. Our screening procedure has identified compounds, mostly thiosemicarbazones and halo-carbonyls, with the best potential as G245S-mp53 activators, which are described in this work. Based on its binding scores and ADMET risk score, compound 2 is likely to have the best potential as a G245S-mp53 activator compared to the other top hits.

Indexed as

Models, GeneticMutationComputer SimulationHumansNeoplasmsTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID30192754
PMCPMC6128461
OpenAlexW2890418198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.