Evidence map›Paper›PMID 38355953›Full record

ArticleScientific reports2024

Molecular docking of bioactive compounds extracted and purified from selected medicinal plant species against covid-19 proteins and in vitro evaluation.

Ayesha Khanum, Yamin Bibi, Ilham Khan, Ghazala Mustafa, Kotb A Attia, Arif Ahmed Mohammed, Seung Hwan Yang, Abdul Qayyum

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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 at 6 institutions in 3 countries.

Ayesha KhanumDepartment of Biology, PMAS-Arid Agriculture University Rawalpindi, Rawalpindi, 46300, Pakistan.
Yamin BibiDepartment of Botany, Rawalpindi Women University, Rawalpindi, 46300, Pakistan. yamin.bibi@f.rwu.edu.pk.
Ilham KhanDepartment of Plant Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Ghazala MustafaDepartment of Plant Sciences, Quaid-I-Azam University, Islamabad, 45320, Pakistan.
Kotb A AttiaDepartment of Biochemistry, College of Science, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia.
Arif Ahmed MohammedDepartment of Biochemistry, College of Science, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia.
Seung Hwan YangDepartment of Biotechnology, Chonnam National University, Yeosu, 59626, Republic of Korea. ymichigan@chonnam.ac.kr.
Abdul QayyumDepartment of Agronomy, The University of Haripur, Haripur, 22620, Pakistan. aqayyum@uoh.edu.pk.
King Saud University · SAQuaid-i-Azam University · PKChonnam National University · KRPir Mehr Ali Shah Arid Agriculture University · PKRawalpindi Women UniversityUniversity of Haripur · PK

Funding

King Saud University RSP-2024 R369National Research Foundation of Korea NRF-2021R1F1A1055482
6 · The paper itself

Abstract

Bioactive compounds are secondary metabolites of plants. They offer diverse pharmacological properties. Peganum harmala is reported to have pharmaceutical effects like insecticidal, antitumor, curing malaria, anti-spasmodic, vasorelaxant, antihistaminic effect. Rosa brunonii has medicinal importance in its flower and fruits effective against different diseases and juice of leaf is reported to be applied externally to cure wounds and cuts. Dryopteris ramosa aqueous leaf extract is used to treat stomach ulcers and stomachaches. Each of these three medicinal plants have been indicated to have anticancer, antiviral, antioxidant, cytotoxic and antifungal effects but efficacy of their bioactive compounds remained unexplored. Study was aimed to explore In-vitro and In-silico anticancer, antiviral, antioxidant, cytotoxic and antifungal effects of bioactive compounds of above three medicinal plants. DPPH and ABTS assay were applied for assessment of antioxidant properties of compounds. Antibacterial properties of compounds were checked by agar well diffusion method. Brine shrimp lethality assay was performed to check cytotoxic effect of compounds. Molecular docking was conducted to investigate the binding efficacy between isolated compounds and targeted proteins. The compound isomangiferrin and tiliroside presented strong antioxidant potential 78.32% (± 0.213) and 77.77% (± 0.211) respectively in DPPH assay while harmaline showed 80.71% (± 0.072) at 200 µg/mL in ABTS assay. The compound harmine, harmaline and PH-HM 17 exhibited highest zone of inhibition 22 mm, 23 mm, 22 mm respectively against Xanthomonas while Irriflophenone-3-C-β- D-glucopyranoside showed maximum zone of inhibition 34 mm against E. coli. The compound isomangiferrin and vasicine contained strong antibacterial activity 32 mm and 22 mm respectively against S. aureus. The compound mangiferrin, astragalin, tiliroside, quercitin-3-O-rhamnoside showed maximum inhibitory zone 32 mm, 26 mm, 24 mm and 22 mm respectively against Klebsiella pneumoniae. Highest cytotoxic effect was observed by compound tiliroside i.e. 95% with LD

Indexed as

BenzothiazolesCOVID-19Plants, MedicinalSulfonic AcidsAnti-Bacterial AgentsAntifungal AgentsAntioxidantsAntiviral AgentsEscherichia coliHarmalineMolecular Docking SimulationPlant ExtractsStaphylococcus aureus2,2'-azino-di-(3-ethylbenzothiazoline)-6-sulfonic acidAnti-Bacterial AgentsAntifungal AgentsAntioxidantsAntiviral AgentsBenzothiazolesHarmalinePlant ExtractsSulfonic AcidsAnticancerAntioxidantBioactive compoundsMedicinal plants

Identifiers

PMID38355953
PMCPMC10866962
OpenAlexW4391822228

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.