Evidence map›Paper›PMID 30364171›Full record

ReviewFrontiers in pharmacology2018

Inhibitors of DNA Methyltransferases From Natural Sources: A Computational Perspective.

Fernanda I Saldívar-González, Alejandro Gómez-García, David E Chávez-Ponce de León, Norberto Sánchez-Cruz, Javier Ruiz-Rios, B Angélica Pilón-Jiménez, José L Medina-Franco

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Food science & nutrition · 2024
    Article
  2. Beneficial Effects ofNutrients · 2024
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  3. Article
  4. Review
  5. Review
  6. Article
  7. Regulation of Host Defense Peptide Synthesis by Polyphenols.Antibiotics (Basel, Switzerland) · 2023
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Analogs ofMolecular biology · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

7 authors.

Fernanda I Saldívar-GonzálezDepartment of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico.
Alejandro Gómez-GarcíaDepartment of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico.
David E Chávez-Ponce de LeónDepartment of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico.
Norberto Sánchez-CruzDepartment of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico.
Javier Ruiz-RiosDepartment of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico.
B Angélica Pilón-JiménezDepartment of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico.
José L Medina-FrancoDepartment of Pharmacy, School of Chemistry, National Autonomous University of Mexico, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naturally occurring small molecules include a large variety of natural products from different sources that have confirmed activity against epigenetic targets. In this work we review chemoinformatic, molecular modeling, and other computational approaches that have been used to uncover natural products as inhibitors of DNA methyltransferases, a major family of epigenetic targets with therapeutic interest. Examples of computational approaches surveyed in this work are docking, similarity-based virtual screening, and pharmacophore modeling. It is also discussed the chemoinformatic-guided exploration of the chemical space of naturally occurring compounds as epigenetic modulators which may have significant implications in epigenetic drug discovery and nutriepigenetics.

Indexed as

chemical spacechemoinformaticsdatabasesDNMT inhibitorsdrug discoverymolecular modelingsimilarity searchingvirtual screening

Identifiers

PMID30364171
PMCPMC6191485

What OpenQuestion holds

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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.