Evidence map›Paper›PMID 34322316›Full record

ArticlePeerJ2021

The impact of curcumin derived polyphenols on the structure and flexibility COVID-19 main protease binding pocket: a molecular dynamics simulation study.

Aweke Mulu, Mulugeta Gajaa, Haregewoin Bezu Woldekidan, Jerusalem Fekadu W/Mariam

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. In silico Molecular Docking Approach to Identify Potential Antihypertensive Compounds fromAdvances and applications in bioinformatics and chemistry : AABC · 2024
    Article
  4. Therapeutic potential ofFrontiers in chemistry · 2024
    Article
  5. In silico Study of Antiviral Activity of Polyphenol Compounds fromAdvances and applications in bioinformatics and chemistry : AABC · 2023
    Article
  6. Pea eggplant (PeerJ · 2022
    Article
  7. Review
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Aweke MuluCollege of Applied Science, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.ORCID 0000-0001-6705-5338
Mulugeta GajaaCollege of Natural and Social science, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
Haregewoin Bezu WoldekidanCollege of Applied Science, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
Jerusalem Fekadu W/MariamCollege of Applied Science, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia.
Addis Ababa Science and Technology University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The newly occurred SARS-CoV-2 caused a leading pandemic of coronavirus disease (COVID-19). Up to now it has infected more than one hundred sixty million and killed more than three million people according to 14 May 2021 World Health Organization report. So far, different types of studies have been conducted to develop an anti-viral drug for COVID-19 with no success yet. As part of this, silico were studied to discover and introduce COVID-19 antiviral drugs and results showed that protease inhibitors could be very effective in controlling. This study aims to investigate the binding affinity of three curcumin derived polyphenols against COVID-19 the main protease (Mpro), binding pocket, and identification of important residues for interaction. In this study, molecular modeling, auto-dock coupled with molecular dynamics simulations were performed to analyze the conformational, and stability of COVID-19 binding pocket with diferuloylmethane, demethoxycurcumin, and bisdemethoxycurcumin. All three compounds have shown binding affinity -39, -89 and -169.7, respectively. Demethoxycurcumin and bisdemethoxycurcumin showed an optimum binding affinity with target molecule and these could be one of potential ligands for COVID-19 therapy. And also, COVID-19 main protease binding pocket binds with the interface region by one hydrogen bond. Moreover, the MD simulation parameters indicated that demethoxycurcumin and bisdemethoxycurcumin were stable during the simulation run. These findings can be used as a baseline to develop therapeutics with curcumin derived polyphenols against COVID-19.

Indexed as

Binding energyDockingNAMDSARS-CoV-2X-ray crustal structure

Identifiers

PMID34322316
PMCPMC8297469
OpenAlexW3186617930

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.