Evidence map›Paper›PMID 37814685›Full record

ArticleBioinformation2023

Antimicrobial evaluation and molecular docking studies of the combined ethanolic extract of

Sherin Rebecca F, Vidhya Lakshmi V, Jeyashree M, Elavarasi A, Ponnivedha Rajamanickam

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Sherin Rebecca FPG and Research Centre of Zoology, Jayaraj Annapackiam College for Women (Autonomous) Periyakulam, Theni, Tamilnadu, India.
Vidhya Lakshmi VPG and Research Centre of Zoology, Jayaraj Annapackiam College for Women (Autonomous) Periyakulam, Theni, Tamilnadu, India.
Jeyashree MDBT-BIF Centre, PG and Research Department of Biotechnology and Bioinformatics, Holy Cross College, Affiliated to Bharathidasan University, Tiruchirappalli-620 002, Tamil Nadu, India.
Elavarasi ADBT-BIF Centre, PG and Research Department of Biotechnology and Bioinformatics, Holy Cross College, Affiliated to Bharathidasan University, Tiruchirappalli-620 002, Tamil Nadu, India.
Ponnivedha RajamanickamDBT-BIF Centre, PG and Research Department of Biotechnology and Bioinformatics, Holy Cross College, Affiliated to Bharathidasan University, Tiruchirappalli-620 002, Tamil Nadu, India.
Bharathidasan University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants are considered to be the source of richness in Traditional Medicine. The chosen plants Mollugocerviana (L.) and Mukiamaderas patina. (L.) are commonly used to treat various ailments in traditional medicine. In the present study these two Plants were extracted with Ethanol and were subjected to Phytochemical Analysis to confirm the presence of different Phytochemicals. After phytochemical analysis the antimicrobial efficiency of the Plant extracts were checked against different microbial pathogens. The results confirm that the combined extract of both the plants shows potent activity against selected pathogenic strains. The results clearly indicate that the activity is in a dose dependent manner which is defined as higher the concentration higher the activity. GC-MS analysis of the extracts showed the presence of Ergost-7-en-3-ol. This ligand was docked with TyRs protein of

Indexed as

Antimicrobialmolecular dockingMollugo cervianaMukia maderspatana

Identifiers

PMID37814685
PMCPMC10560310
OpenAlexW4360981385

What OpenQuestion holds

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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.