Evidence map›Paper›PMID 25598646›Full record

ArticlePharmacognosy research

Isolation, structural characterization and in silico drug-like properties prediction of a natural compound from the ethanolic extract of Cayratia trifolia (L.).

Palanisamy Chella Perumal, Sundaram Sowmya, Prabhakaran Pratibha, Balasubramanian Vidya, Palanirajan Anusooriya, Thangarajan Starlin, Subban Ravi, Velliyur Kanniappan Gopalakrishnan

Abstract read
In one paragraph

Article in Pharmacognosy research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Yield, Characterization, and Possible Exploitation ofMolecules (Basel, Switzerland) · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Biochemical and molecular analysis ofJournal, genetic engineering & biotechnology · 2016
    Article
  11. Screening of Potential Phytocompounds FromJournal of pharmacy & bioallied sciences
    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

8 authors.

Palanisamy Chella PerumalDepartment of Biochemistry, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.
Sundaram SowmyaDepartment of Bioinformatics, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.
Prabhakaran PratibhaDepartment of Biochemistry, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.
Balasubramanian VidyaDepartment of Bioinformatics, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.
Palanirajan AnusooriyaDepartment of Bioinformatics, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.
Thangarajan StarlinDepartment of Biochemistry, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.
Subban RaviDepartment of Chemistry, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.
Velliyur Kanniappan GopalakrishnanDepartment of Biochemistry, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India ; Department of Bioinformatics, Karpagam University, Eachanari, Coimbatore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNatural products have continually played an important role in drug discovery because it serves as active principles in drugs as well as templates for synthesis of new drugs. Cayratia trifolia (L.) is a medicinal plant, which has been reported to have antiviral, antibacterial, antiprotozoal, hypoglycemic, anticancer and diuretic activities.

objectiveTherefore, the objective of this study is to isolate and identify the natural compound from the ethanolic extract of Cayratia trifolia (L.) and to predict the Absorption, Distribution, Metabolism and Excretion (ADME) properties of isolated natural compound. MATERIALS AND

methodsColumn chromatography and thin layer chromatography were used to isolate the natural compound and Fourier-transform infrared (FTIR) spectroscopy was used to predict the functional groups present in the isolated natural compound. The structural characterization studies were functionally carried out using (1)H, (13)C, two-dimensional nuclear magnetic resonance (NMR) and mass spectrometry methods.

resultsFTIR showed that, the groups of OH, C-H, C = C may be present in the isolated natural compound. (1)H, (13)C, two-dimensional NMR and mass spectrometry data suggests that the isolated natural compound probably like linoleic acid. In silico ADME properties, prediction of the compound was under acceptable range.

conclusionBased on the results, it can be concluded that, the isolated natural compound of linoleic acid that has been exhibited good medicinal properties.

Indexed as

Cayratia trifolia (L.)Chromatography techniquesLinoleic acid and ADME propertiesSpectroscopy methods

Identifiers

PMID25598646
PMCPMC4285641

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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.