Evidence map›Paper›PMID 36103744›Full record

ArticleComputers in biology and medicine2022

Computational exploration of the dual role of the phytochemical fortunellin: Antiviral activities against SARS-CoV-2 and immunomodulatory abilities against the host.

Shivangi Agrawal, Ekta Pathak, Rajeev Mishra, Vibha Mishra, Afifa Parveen, Sunil Kumar Mishra, Parameswarappa S Byadgi, Sushil Kumar Dubey, Ashvanee Kumar Chaudhary, Vishwambhar Singh and 2 more

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In one paragraph

Article in Computers in biology and medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Shivangi AgrawalBioinformatics, MMV, Institute of Science, Banaras Hindu University, India.
Ekta PathakInstitute of Diabetes and Obesity, Helmholtz Zentrum München, Neuherberg, Germany. Electronic address: ekta.pathak@helmholtz-muenchen.de.
Rajeev MishraBioinformatics, MMV, Institute of Science, Banaras Hindu University, India. Electronic address: rajeev17@bhu.ac.in.
Vibha MishraBioinformatics, MMV, Institute of Science, Banaras Hindu University, India.
Afifa ParveenBioinformatics, MMV, Institute of Science, Banaras Hindu University, India.
Sunil Kumar MishraDepartment of Pharmaceutical Engineering & Technology, IIT (BHU), India.
Parameswarappa S ByadgiFaculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, India.
Sushil Kumar DubeyFaculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, India.
Ashvanee Kumar ChaudharyDepartment of Otorhinolaryngology, Institute of Medical Sciences, BHU, India.
Vishwambhar SinghDepartment of ENT, IMS, Banaras Hindu University, India.
Rameshwar Nath ChaurasiaDepartment of Neurology, Institute of Medical Sciences, Banaras Hindu University, India.
Neelam AtriDepartment of Botany, MMV, Banaras Hindu University, India.
Banaras Hindu University · INInstitute of Medical Sciences · INHelmholtz Zentrum München · DEIndian Institute of Technology BHU · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infections generate approximately one million virions per day, and the majority of available antivirals are ineffective against it due to the virus's inherent genetic mutability. This necessitates the investigation of concurrent inhibition of multiple SARS-CoV-2 targets. We show that fortunellin (acacetin 7-O-neohesperidoside), a phytochemical, is a promising candidate for preventing and treating coronavirus disease (COVID-19) by targeting multiple key viral target proteins. Fortunellin supports protective immunity while inhibiting pro-inflammatory cytokines and apoptosis pathways and protecting against tissue damage. Fortunellin is a phytochemical found in Gojihwadi kwath, an Indian traditional Ayurvedic formulation with an antiviral activity that is effective in COVID-19 patients. The mechanistic action of its antiviral activity, however, is unknown. The current study comprehensively evaluates the potential therapeutic mechanisms of fortunellin in preventing and treating COVID-19. We have used molecular docking, molecular dynamics simulations, free-energy calculations, host target mining of fortunellin, gene ontology enrichment, pathway analyses, and protein-protein interaction analysis. We discovered that fortunellin reliably binds to key targets that are necessary for viral replication, growth, invasion, and infectivity including Nucleocapsid (N-CTD) (-54.62 kcal/mol), Replicase-monomer at NSP-8 binding site (-34.48 kcal/mol), Replicase-dimer interface (-31.29 kcal/mol), Helicase (-30.02 kcal/mol), Papain-like-protease (-28.12 kcal/mol), 2'-O-methyltransferase (-23.17 kcal/mol), Main-protease (-21.63 kcal/mol), Replicase-monomer at dimer interface (-22.04 kcal/mol), RNA-dependent-RNA-polymerase (-19.98 kcal/mol), Nucleocapsid-NTD (-16.92 kcal/mol), and Endoribonuclease (-16.81 kcal/mol). Furthermore, we identify and evaluate the potential human targets of fortunellin and its effect on the SARS-CoV-2 infected tissues, including normal-human-bronchial-epithelium (NHBE) and lung cells and organoids such as pancreatic, colon, liver, and cornea using a network pharmacology approach. Thus, our findings indicate that fortunellin has a dual role; multi-target antiviral activities against SARS-CoV-2 and immunomodulatory capabilities against the host.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antiviral AgentsCytokinesEndoribonucleasesFlavonoidsGlycosidesHumansMethyltransferasesMolecular Docking SimulationMolecular Dynamics SimulationPapainPhytochemicalsRNAAntiviral AgentsCytokinesEndoribonucleasesFlavonoidsfortunellinGlycosidesMethyltransferasesPapainPhytochemicalsRNAAntiviralEnrichment analysisFortunellinImmunomodulationMM-GBSA analysisMolecular dynamics simulationMulti-targetNetwork pharmacologySARS-CoV-2

Identifiers

PMID36103744
PMCPMC9452420
OpenAlexW4295905324

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.