Evidence map›Paper›PMID 37214084›Full record

ArticleBioMed research international2023

In Silico Identification and Analysis of Potentially Bioactive Antiviral Phytochemicals against SARS-CoV-2: A Molecular Docking and Dynamics Simulation Approach.

Sajal Kumar Halder, Ive Sultana, Md Nazmussakib Shuvo, Aparna Shil, Mahbubul Kabir Himel, Md Ashraful Hasan, Mohammad Mahfuz Ali Khan Shawan

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.3field-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

26 citing papers in PubMed, 32 citations in OpenAlex.

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  6. Identification of Anti-Viral Compounds fromJournal of microbiology and biotechnology · 2026
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  20. Exploring the Dynamics ofCurrent medicinal chemistry · 2025
    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 1 country.

Sajal Kumar HalderDepartment of Biochemistry and Molecular Biology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.ORCID https://orcid.org/0000-0001-7316-6210
Ive SultanaDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.
Md Nazmussakib ShuvoDepartment of Botany, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.
Aparna ShilDepartment of Botany, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.ORCID https://orcid.org/0000-0003-4152-4639
Mahbubul Kabir HimelDepartment of Botany, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.
Md Ashraful HasanDepartment of Biochemistry and Molecular Biology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.
Mohammad Mahfuz Ali Khan ShawanDepartment of Biochemistry and Molecular Biology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh.ORCID https://orcid.org/0000-0002-5451-2242
Jahangirnagar University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2, a deadly coronavirus sparked COVID-19 pandemic around the globe. With an increased mutation rate, this infectious agent is highly transmissible inducing an escalated rate of infections and death everywhere. Hence, the discovery of a viable antiviral therapy option is urgent. Computational approaches have offered a revolutionary framework to identify novel antimicrobial treatment regimens and allow a quicker, cost-effective, and productive conversion into the health center by evaluating preliminary and safety investigations. The primary purpose of this research was to find plausible plant-derived antiviral small molecules to halt the viral entrance into individuals by clogging the adherence of Spike protein with human ACE2 receptor and to suppress their genome replication by obstructing the activity of Nsp3 (Nonstructural protein 3) and 3CLpro (main protease). An in-house library of 1163 phytochemicals were selected from the NPASS and PubChem databases for downstream analysis. Preliminary analysis with SwissADME and pkCSM revealed 149 finest small molecules from the large dataset. Virtual screening using the molecular docking scoring and the MM-GBSA data analysis revealed that three candidate ligands CHEMBL503 (Lovastatin), CHEMBL490355 (Sulfuretin), and CHEMBL4216332 (Grayanoside A) successfully formed docked complex within the active site of human ACE2 receptor, Nsp3, and 3CLpro, respectively. Dual method molecular dynamics (MD) simulation and post-MD MM-GBSA further confirmed efficient binding and stable interaction between the ligands and target proteins. Furthermore, biological activity spectra and molecular target analysis revealed that all three preselected phytochemicals were biologically active and safe for human use. Throughout the adopted methodology, all three therapeutic candidates significantly outperformed the control drugs (Molnupiravir and Paxlovid). Finally, our research implies that these SARS-CoV-2 protein antagonists might be viable therapeutic options. At the same time, enough wet lab evaluations would be needed to ensure the therapeutic potency of the recommended drug candidates for SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2Angiotensin-Converting Enzyme 2Antiviral AgentsDrug CombinationsHumansLactamsLeucineLigandsMolecular Docking SimulationMolecular Dynamics SimulationNitrilesPandemicsPhytochemicalsProlineRitonavirAngiotensin-Converting Enzyme 2Antiviral AgentsDrug CombinationsLactamsLeucineLigandsnirmatrelvir and ritonavir drug combinationNitrilesPhytochemicalsProlineRitonavirViral Nonstructural Proteins

Identifiers

PMID37214084
PMCPMC10195178
OpenAlexW4377564190

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.