Evidence map›Paper›PMID 39950273›Full record

ArticleCurrent pharmaceutical biotechnology2026

Somenath Dutta, Shilpa Sri Pushan, Rohan Ghosh, Maria Jose, Manisha Pritam

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Article in Current pharmaceutical biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Somenath DuttaDepartment of Bioinformatics, Pondicherry Central University, Puducherry, India.
Shilpa Sri PushanDepartment of Bioinformatics, Pondicherry Central University, Puducherry, India.
Rohan GhoshDepartment of Bioinformatics, Pondicherry Central University, Puducherry, India.
Maria JoseDepartment of Bioinformatics, Pondicherry Central University, Puducherry, India.
Manisha PritamBirla Institute of Scientific Research, Jaipur India.ORCID 0000-0003-0661-7274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo identify potential phytochemical-based drugs for both wild-type and Omicron variants of SARS-CoV-2 using virtual screening and molecular dynamic simulation.

backgroundCoronavirus disease 2019 (COVID-19) is an infectious viral disease caused by SARS-CoV-2. Since 2019, multiple variants have been reported from all over the world and the emergence of new variants of SARS-CoV-2 is a major concern.

objectiveTo identify potential phytochemicals that can be used as drugs against different variants of SARS-CoV-2.

methodsIn our present study, we have selected 594 phytochemicals and performed virtual screening to identify potential drug candidates. The screening commenced with molecular docking techniques with both ACE2 (Human) and Spike protein (wild-type and Omicron variant), followed by prediction of pharmacokinetics parameters and toxicity. The Schrodinger tools, Swiss ADME, and ProTox-II accomplish the analysis. Further, molecular dynamics simulation, binding free energy calculation and meta-dynamics study was performed for best protein-ligand complexes of both proteins using GROMACS and gmx_MMPBSA to validate the stability of the docked complexes.

resultswe have identified 6 and 4 drugs as spike protein inhibitors for wild-type and Omicron variants, respectively. 6 drugs were identified as ACE2 receptor inhibitors. We have identified silymarin as a common drug inhibitor for both pathogen (Wild-type, and Omicrons spikes) as well as host (human ACE2) protein that reflects its ability to inhibit the host-pathogen interaction and prevent infection.

conclusionWe have found some potential Phytochemicals that can be used against different variants of SARS-CoV-2 such as silymarin.

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentPhytochemicalsSARS-CoV-2Angiotensin-Converting Enzyme 2Computer SimulationCOVID-19Drug DevelopmentHumansMolecular Docking SimulationMolecular Dynamics SimulationSpike Glycoprotein, CoronavirusACE2 protein, humanAngiotensin-Converting Enzyme 2Antiviral AgentsPhytochemicalsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2drug developmentmolecular dockingmolecular dynamics simulationOmicronphytochemicalsSARS-CoV-2

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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.