Evidence map›Paper›PMID 39611109›Full record

ArticleIn silico pharmacology2024

Targeting telomeric RNA quadruplexes with natural metabolites to prevent cancer.

Gourav Choudhir, Sushil Kumar, Anuj Kumar

Abstract read
In one paragraph

Article in In silico pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Gourav ChoudhirDepartment of Botany, Chaudhary Charan Singh University, Meerut, 250004 India.
Sushil KumarDepartment of Botany, Shaheed Mangal Pandey Govt. Girls PG College, Madhavpuram, Meerut, 250002 India.
Anuj KumarDepartment of Microbiology and Immunology, Dalhousie University, Halifax, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a major global health burden, causing significant economic losses and premature deaths worldwide. Maintenance of telomeric repeats by telomerase makes the cancer cells immortal. Non-nucleoside mushroom metabolites were screened for their ability to stabilize RG4 structures, making telomeres inaccessible to telomerase and inducing telomere shortening in cancer cells. Selected mushroom metabolites, namely, Sterenin M, Melleolide K, and Zhankuic Acid A were docked with RG4 using the AutoDock Vina and evaluated for non-covalent interactions. These compounds were found to have strong binding affinity and manifested a set of molecular interactions with RG4. To assess the stability of complexes, state-of-the-art molecular dynamics simulations were carried out using the GROMACS 2018.7 software suite with the AMBER99SB-ILDN force field on 250 nanoseconds. Molecular docking and MD simulations revealed the strong interaction patterns between RG4 and the selected metabolites at the atomic level followed by binding free energy calculations. The results suggest that all three metabolites have the potential to be developed into therapeutic agents for cancer treatment. Further in vitro and in vivo studies are needed to assess these compounds' toxicity, efficacy, and dosage.

Indexed as

MD simulationMelleolide KMolecular dockingSterenin MTelomereZhankuic acid A

Identifiers

PMID39611109
PMCPMC11599832

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.