Evidence map›Paper›PMID 32340562›Full record

ArticleJournal of biomolecular structure & dynamics2021

A molecular modeling approach to identify effective antiviral phytochemicals against the main protease of SARS-CoV-2.

Rajib Islam, Md Rimon Parves, Archi Sundar Paul, Nizam Uddin, Md Sajjadur Rahman, Abdulla Al Mamun, Md Nayeem Hossain, Md Ackas Ali, Mohammad A Halim

Open access · greenAbstract read
In one paragraph

Article in Journal of biomolecular structure & dynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed
40.6field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 345 citations in OpenAlex.

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  11. Phytochemical Analysis, Computational Study, and in vitro Assay ofJournal of experimental pharmacology · 2025
    Article
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  13. Plausible mechanism of drug resistance and side-effects of COVID-19 therapeutics: a bottleneck for its eradication.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Review
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  18. InBiochemistry and biophysics reports · 2024
    Article
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83 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 3 countries.

Rajib IslamDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.
Md Rimon ParvesDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.
Archi Sundar PaulDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.
Nizam UddinDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.
Md Sajjadur RahmanDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.
Abdulla Al MamunKey Laboratory of Soft Chemistry and Functional Materials of MOE, School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Md Nayeem HossainDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.
Md Ackas AliDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.
Mohammad A HalimDivision of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-1698-7044
Green University of Bangladesh · BDSouth Dakota State University · USNanjing University of Science and Technology · CNUniversity of Arkansas – Fort Smith · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main protease of SARS-CoV-2 is one of the important targets to design and develop antiviral drugs. In this study, we have selected 40 antiviral phytochemicals to find out the best candidates which can act as potent inhibitors against the main protease. Molecular docking is performed using AutoDock Vina and GOLD suite to determine the binding affinities and interactions between the phytochemicals and the main protease. The selected candidates strongly interact with the key Cys145 and His41 residues. To validate the docking interactions, 100 ns molecular dynamics (MD) simulations on the five top-ranked inhibitors including hypericin, cyanidin 3-glucoside, baicalin, glabridin, and α-ketoamide-11r are performed. Principal component analysis (PCA) on the MD simulation discloses that baicalin, cyanidin 3-glucoside, and α-ketoamide-11r have structural similarity with the apo-form of the main protease. These findings are also strongly supported by root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (Rg), and solvent accessible surface area (SASA) investigations. PCA is also used to find out the quantitative structure-activity relationship (QSAR) for pattern recognition of the best ligands. Multiple linear regression (MLR) of QSAR reveals the

Indexed as

COVID-19SARS-CoV-2Antiviral AgentsHumansMolecular Docking SimulationPeptide HydrolasesPhytochemicalsAntiviral AgentsPeptide HydrolasesPhytochemicalsAntiviral phytochemicalsCOVID-19molecular dockingmolecular dynamicsSARS-CoV-2

Identifiers

PMID32340562
PMCPMC7232885
OpenAlexW3017633633

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.