Evidence map›Paper›PMID 42288802›Full record

ArticleFrontiers in zoology2026

In silico screening for safe and potent essential oils against mosquito neural targets.

Mohamed Nagy, Esraa Mansour, Hanaa Elbrense

Abstract read
In one paragraph

Article in Frontiers in zoology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mohamed NagyDepartment of Zoology, Faculty of Science, Tanta University, Tanta, 31527, Egypt. mohamed.nagi@science.tanta.edu.eg.ORCID http://orcid.org/0009-0000-2197-7396
Esraa MansourDepartment of Zoology, Faculty of Science, Tanta University, Tanta, 31527, Egypt.ORCID http://orcid.org/0009-0003-1102-0533
Hanaa ElbrenseDepartment of Zoology, Faculty of Science, Tanta University, Tanta, 31527, Egypt.ORCID http://orcid.org/0000-0001-9897-3772

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMosquito-borne diseases remain a major global health challenge, highlighting the need for eco-friendly alternatives to conventional chemical insecticides. This study aimed to evaluate a tiered in silico screening framework to prioritize plant-derived essential oils as potential sustainable mosquito control agents.

resultsA large-scale virtual screening of 5,183 essential oils was conducted, followed by toxicity-based filtering, yielding 1,345 low-toxicity candidates. Subsequent molecular docking against neural targets of Culex pipiens identified 51 top-priority oils. Among these, German chamomile (Matricaria chamomilla) consistently appeared across multiple chemotypes. The Egyptian German chamomile essential oil was selected for experimental validation. Chemical analysis revealed sesquiterpenes, particularly bisabolol oxide derivatives and β-farnesene, as major constituents. Docking results demonstrated strong binding affinities toward multiple neural targets. Larvicidal bioassays showed 100% mortality at 400 ppm after 24 h, accompanied by significant behavioral, morphological,and histopathological abnormalities. Neurochemical assays indicated increased acetylcholinesterase activity, alongside decreased γ-aminobutyric acid levels, suggesting disruption of neural signaling.

conclusionsThis study demonstrates the effectiveness of in silico screening in identifying safe and potent plant-based mosquito control agents. German chamomile essential oil emerges as a promising eco-friendly candidate for sustainable vector management, warranting further field-based validation.

Indexed as

Culex pipiensEssential oilsIn silico screeningMatricaria chamomillaMolecular dockingMosquito control

Identifiers

PMID42288802
PMCPMC13285536

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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.