Structure–Activity Relationship (SAR) Modeling of Mosquito Repellents: Deciphering the Importance of the 1-Octanol/Water Partition Coefficient on the Prediction Results

Structure–Activity Relationship (SAR) Modeling of Mosquito Repellents: Deciphering the Importance of the 1-Octanol/Water Partition Coefficient on the Prediction Results

Repellents play a fundamental role in vector control and prevention to keep mosquitoes away from humans. Available in limited numbers, it is absolutely necessary to find new repellents for preventing problems of resistance. QSAR (Quantitative Structure–Activity Relationship) methods are particularly...

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Bibliographische Detailangaben
Hauptverfasser: James Devillers, Hugo Devillers
Format: Artikel
Sprache:English
Veröffentlicht: MDPI AG 2024-06-01
Schriftenreihe:Applied Sciences
Schlagworte:
<i>Aedes aegypti</i>
physicochemical descriptor
Quantitative Structure–Property Relationship (QSPR)
artificial neural network
classification model
vector control
Online Zugang:https://www.mdpi.com/2076-3417/14/13/5366

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https://www.mdpi.com/2076-3417/14/13/5366

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