Evidence map›Paper›PMID 40819116›Full record

ArticleMolecular diversity2026

Antiviral efficacy of honey bee antimicrobial peptides against SARS-CoV-2.

Roy Dinata, Piyush Baindara, Chettri Arati, Guruswami Gurusubramanian

Abstract read
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In one paragraph

Article in Molecular diversity, 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

4 authors.

Roy DinataAnimal Science Research Center, Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA. dinataroy9@gmail.com.
Piyush BaindaraAnimal Science Research Center, Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
Chettri AratiDepartment of Zoology, School of Life Sciences, Mizoram University, Aizawl, Mizoram, 796004, India.
Guruswami GurusubramanianDepartment of Zoology, School of Life Sciences, Mizoram University, Aizawl, Mizoram, 796004, India. gurus64@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic continues to pose severe health and economic challenges, exacerbated by emerging antiviral drug resistance. As of now, there are several vaccines and a few FDA-approved drugs available; however, due to the emergence of antiviral drug resistance still there is a need for novel strategies and antiviral drugs. This study investigates honey bee-derived antimicrobial peptides (BAMPs) as potential multi-target antiviral agents against SARS-CoV-2. A total of 82 BAMPs from eight bee species, classified into seven peptide classes, were screened for favorable pharmacokinetic and pharmacodynamic properties. Finally, seventeen BAMPs were selected, modeled, and validated for further structural studies. Molecular docking revealed strong binding affinities with key viral and host targets, surpassing several FDA-approved antivirals. These interactions suggest BAMPs may inhibit viral entry, replication, and dissemination. Further, molecular dynamics simulation studies confirmed the stability, compactness, and flexibility of the docked complexes. Overall, present study highlight BAMPs as promising candidates for SARS-CoV-2 therapeutics, while warranting further in vitro and in vivo validation.

Indexed as

Antimicrobial PeptidesAntiviral AgentsCOVID-19 Drug TreatmentSARS-CoV-2AnimalsBeesHumansMolecular Docking SimulationMolecular Dynamics SimulationAntimicrobial PeptidesAntiviral AgentsAntimicrobial peptidesAntiviralCOVID-19Honey beeSARS-CoV-2

Identifiers

What OpenQuestion holds

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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.