Evidence map›Paper›PMID 27626453›Full record

ArticleAntibiotics (Basel, Switzerland)2016

The Search for Herbal Antibiotics: An In-Silico Investigation of Antibacterial Phytochemicals.

Mary Snow Setzer, Javad Sharifi-Rad, William N Setzer

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 74 citations in OpenAlex.

  1. Review
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  3. Review
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  5. Article
  6. Potential forACS omega · 2023
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  8. The Roots ofMetabolites · 2022
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  9. Potential Active Constituents fromPharmaceuticals (Basel, Switzerland) · 2022
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  10. Article
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  12. Article
  13. Growing emergence of drug-resistantIranian journal of basic medical sciences · 2021
    Review
  14. Assessment ofAnimals : an open access journal from MDPI · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Molecules (Basel, Switzerland) · 2018
    Review
  19. Article
  20. Phytochemicals inInternational journal of molecular sciences · 2018
    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

3 authors at 2 institutions in 2 countries.

Mary Snow SetzerDepartment of Chemistry, University of Alabama in Huntsville, Huntsville, AL 35899, USA. mary.setzer@uah.edu.
Javad Sharifi-RadZabol Medicinal Plants Research Center, Zabol University of Medical Sciences, Zabol 61615-585, Iran. javad.sharifirad@gmail.com.
William N SetzerDepartment of Chemistry, University of Alabama in Huntsville, Huntsville, AL 35899, USA. wsetzer@chemistry.uah.edu.
University of Alabama in Huntsville · USZabol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the emergence and spread of pathogenic bacterial resistance to many antibiotics (multidrug-resistant strains) have been increasing throughout the world. This phenomenon is of great concern and there is a need to find alternative chemotherapeutic agents to combat these antibiotic-resistant microorganisms. Higher plants may serve as a resource for new antimicrobials to replace or augment current therapeutic options. In this work, we have carried out a molecular docking study of a total of 561 antibacterial phytochemicals listed in the Dictionary of Natural Products, including 77 alkaloids (17 indole alkaloids, 27 isoquinoline alkaloids, 4 steroidal alkaloids, and 28 miscellaneous alkaloids), 99 terpenoids (5 monoterpenoids, 31 sesquiterpenoids, 52 diterpenoids, and 11 triterpenoids), 309 polyphenolics (87 flavonoids, 25 chalcones, 41 isoflavonoids, 5 neoflavonoids, 12 pterocarpans, 10 chromones, 7 condensed tannins, 11 coumarins, 30 stilbenoids, 2 lignans, 5 phenylpropanoids, 13 xanthones, 5 hydrolyzable tannins, and 56 miscellaneous phenolics), 30 quinones, and 46 miscellaneous phytochemicals, with six bacterial protein targets (peptide deformylase, DNA gyrase/topoisomerase IV, UDP-galactose mutase, protein tyrosine phosphatase, cytochrome P450 CYP121, and NAD⁺-dependent DNA ligase). In addition, 35 known inhibitors were docked with their respective targets for comparison purposes. Prenylated polyphenolics showed the best docking profiles, while terpenoids had the poorest. The most susceptible protein targets were peptide deformylases and NAD⁺-dependent DNA ligases.

Indexed as

antibacterial phytochemicalsantibiotic resistancebacterial protein targetsmolecular docking

Identifiers

PMID27626453
PMCPMC5039526
OpenAlexW2519506025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.