Evidence map›Paper›PMID 33922914›Full record

ArticleMarine drugs2021

Dieckol and Its Derivatives as Potential Inhibitors of SARS-CoV-2 Spike Protein (UK Strain: VUI 202012/01): A Computational Study.

Mohammad Aatif, Ghazala Muteeb, Abdulrahman Alsultan, Adil Alshoaibi, Bachir Yahia Khelif

Open access · goldAbstract read
In one paragraph

Article in Marine drugs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.2field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Antiviral Activity ofInternational journal of molecular sciences · 2024
    Article
  4. Review
  5. Article
  6. Review
  7. Phytochemical constituents analysis inCommunicative & integrative biology · 2024
    Article
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  10. Review
  11. Article
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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.

Mohammad AatifDepartment of Public Health, College of Applied Medical Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0002-1748-2160
Ghazala MuteebDepartment of Nursing, College of Applied Medical Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0002-3328-3559
Abdulrahman AlsultanDepartment of Biomedical Sciences, College of Applied Medical Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0001-7175-7842
Adil AlshoaibiDepartment of Physics, College of Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia.ORCID 0000-0002-9548-6503
Bachir Yahia KhelifDepartment of Public Health, College of Applied Medical Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
King Faisal University · SA

Funding

Deanship of Scientific Research, King Faisal University 216025
6 · The paper itself

Abstract

The high risk of morbidity and mortality associated with SARS-CoV-2 has accelerated the development of many potential vaccines. However, these vaccines are designed against SARS-CoV-2 isolated in Wuhan, China, and thereby may not be effective against other SARS-CoV-2 variants such as the United Kingdom variant (VUI-202012/01). The UK SARS-CoV-2 variant possesses D614G mutation in the Spike protein, which impart it a high rate of infection. Therefore, newer strategies are warranted to design novel vaccines and drug candidates specifically designed against the mutated forms of SARS-CoV-2. One such strategy is to target ACE2 (angiotensin-converting enzyme2)-Spike protein RBD (receptor binding domain) interaction. Here, we generated a homology model of Spike protein RBD of SARS-CoV-2 UK strain and screened a marine seaweed database employing different computational approaches. On the basis of high-throughput virtual screening, standard precision, and extra precision molecular docking, we identified BE011 (Dieckol) as the most potent compounds against RBD. However, Dieckol did not display drug-like properties, and thus different derivatives of it were generated in silico and evaluated for binding potential and drug-like properties. One Dieckol derivative (DK07) displayed good binding affinity for RBD along with acceptable physicochemical, pharmacokinetic, drug-likeness, and ADMET properties. Analysis of the RBD-DK07 interaction suggested the formation of hydrogen bonds, electrostatic interactions, and hydrophobic interactions with key residues mediating the ACE2-RBD interaction. Molecular dynamics simulation confirmed the stability of the RBD-DK07 complex. Free energy calculations suggested the primary role of electrostatic and Van der Waals' interaction in stabilizing the RBD-DK07 complex. Thus, DK07 may be developed as a potential inhibitor of the RBD-ACE2 interaction. However, these results warrant further validation by in vitro and in vivo studies.

Indexed as

BenzofuransComputer SimulationGene Expression Regulation, ViralMolecular StructureSARS-CoV-2Spike Glycoprotein, CoronavirusBenzofuransdieckolSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19marine-derived compoundsmolecular docking and simulationnatural compoundsseaweedsspike protein

Identifiers

PMID33922914
PMCPMC8145291
OpenAlexW3158927624

What OpenQuestion holds

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Registered trials

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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.