Evidence map›Paper›PMID 32998618›Full record

ArticleJournal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering2020

The inhibitory effect of some natural bioactive compounds against SARS-CoV-2 main protease: insights from molecular docking analysis and molecular dynamic simulation.

Doaa A Abdelrheem, Shimaa A Ahmed, H R Abd El-Mageed, Hussein S Mohamed, Aziz A Rahman, Khaled N M Elsayed, Sayed A Ahmed

Open access · greenAbstract read
In one paragraph

Article in Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Future virology · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Identification of Alkaloids fromChemistrySelect · 2022
    Article
  19. Frontiers in chemistry · 2022
    Article
  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 at 1 institution in 2 countries.

Doaa A AbdelrheemDepartment of Chemistry, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Shimaa A AhmedDepartment of Chemistry, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
H R Abd El-MageedMicro-Analysis and Environmental Research and Community Services Center, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Hussein S MohamedResearch Institute of Medicinal and Aromatic Plants (RIMAP), Beni-Suef University, Beni-Suef, Egypt.ORCID https://orcid.org/0000-0001-6524-9649
Aziz A RahmanDepartment of Pharmacy, University of Rajshahi, Rajshahi, Bangladesh.
Khaled N M ElsayedDepartment of Botany, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Sayed A AhmedDepartment of Chemistry, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Beni-Suef University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aimed at evaluating the inhibitory effect of ten natural bioactive compounds (1-10) as potential inhibitors of SARS-CoV-2-3CL main protease (PDB ID: 6LU7) and SARS-CoV main proteases (PDB IDs: 2GTB and 3TNT) by molecular docking analysis. The inhibitory effect of all studied compounds was studied with compared to some proposed antiviral drugs which currently used in COVID-19 treatment such as chloroquine, hydroxychloroquine, azithromycin, remdesivir, baloxvir, lopinavir, and favipiravir. Homology modeling and sequence alignment was computed to evaluate the similarity between the SARS-CoV-2-3CL main protease and other SARS-CoV receptors. ADMET properties of all studied compounds were computed and reported. Also, molecular dynamic (MD) simulation was performed on the compound which has the highest binding affinity inside 6LU7 obtained from molecular docking analysis to study it is stability inside receptor in explicit water solvent. Based on molecular docking analysis, we found that caulerpin has the highest binding affinity inside all studied receptors compared to other bioactive compounds and studied drugs. Our homology modeling and sequence alignment showed that SARS-CoV main protease (PDB ID: 3TNT) shares high similarity with 3CLpro (96.00%). Also, ADMET properties confirmed that caulerpin obeys Lipinski's rule and passes ADMET property, which make it a promising compound to act as a new safe natural drug against SARS-CoV-2-3CL main protease. Finally, MD simulation confirmed that the complex formed between caulerpin and 3CLpro is stable in water explicit and had no major effect on the flexibility of the protein throughout the simulations and provided a suitable basis for our study. Also, binding free energy between caulerpin and 6LU7 confirmed the efficacy of the caulerpin molecule against SARS-CoV-2 main protease. So, this study suggested that caulerpin could be used as a potential candidate in COVID-19 treatment.

Indexed as

BetacoronavirusCoronavirus 3C ProteasesCysteine EndopeptidasesIndolesMolecular Docking SimulationMolecular Dynamics SimulationSARS-CoV-2Viral Nonstructural ProteinscaulerpinCoronavirus 3C ProteasesCysteine EndopeptidasesIndolesViral Nonstructural ProteinscaulerpinCOVID-19 virus proteaseMD simulationmolecular dockingnatural products

Identifiers

PMID32998618
PMCPMC7544954
OpenAlexW3089698911

What OpenQuestion holds

Textmetadata
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.