In silico screening for safe and potent essential oils against mosquito neural targets.
Overview
Abstract
Background: Mosquito-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.
Results: A 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.
Conclusions: This 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.
Supplementary Information: The online version contains supplementary material available at 10.1186/
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper links to its data, not to its authors' code: see the Data section.
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Data
Datasets cited
- figshare:32768081, at figshare; found in DataCite
- figshare:32768084, at figshare; found in DataCite
- figshare:32768090, at figshare; found in DataCite
- figshare:32768096, at figshare; found in DataCite
Data availability
The data used in this study are available from the corresponding author upon reasonable request.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 6 keywords, 1 funder, 63 references.
Cite
This paper
Nagy, M., Mansour, E., & Elbrense, H. (2026). In silico screening for safe and potent essential oils against mosquito neural targets. Frontiers in zoology, 23(1), 25. https://
BibTeX
@article{nagy2026silico,
author = {Nagy, Mohamed and Mansour, Esraa and Elbrense, Hanaa},
title = {{In silico screening for safe and potent essential oils against mosquito neural targets}},
journal = {Frontiers in zoology},
year = {2026},
month = jun,
volume = {23},
number = {1},
pages = {25},
publisher = {BMC},
issn = {1742-9994},
doi = {10.1186/
url = {https://
pmid = {42288802},
pmcid = {PMC13285536}
}
RIS
TY - JOUR
AU - Nagy, Mohamed
AU - Mansour, Esraa
AU - Elbrense, Hanaa
TI - In silico screening for safe and potent essential oils against mosquito neural targets
T2 - Frontiers in zoology
J2 - Front Zool
PY - 2026
DA - 2026/
VL - 23
IS - 1
SP - 25
SN - 1742-9994
PB - BMC
DO - 10.1186/
UR - https://
LA - en
ER -
CSL-JSON
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"PMID": "42288802",
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"URL": "https://
"language": "en",
"issued": {
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