The quantitative structure–insecticidal activity relationships from plant derived compounds against chikungunya and zika aedes aegypti (Diptera:Culicidae) vector
The insecticidal activity of a series of 62 plant derivedmolecules against the chikungunya, dengue and zika vector, the Aedes aegypti (Diptera:Culicidae) mosquito, is subjected to a Quantitative Structure–Activity Relationships (QSAR) analysis. The Replacement Method (RM) variable subset selection...
Autor Principal: | Saavedra, Laura M. |
---|---|
Otros Autores: | Romanelli, Gustavo P., Rozo, Ciro E., Duchowicz, Pablo R. |
Formato: | Generación de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicos |
Publicado: |
2019
|
Materias: | |
Acceso en línea: |
Saavedra, L. M., Romanelli, G. P., Rozo, C. E., & Duchowicz, P. R. (2018). The quantitative structure–insecticidal activity relationships from plant derived compounds against chikungunya and zika aedes aegypti (diptera:Culicidae) vector. Bogotá: doi:10.1016/j.scitotenv.2017.08.119 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Sumario: |
The insecticidal activity of a series of 62 plant derivedmolecules against the chikungunya, dengue and zika vector,
the Aedes aegypti (Diptera:Culicidae) mosquito, is subjected to a Quantitative Structure–Activity Relationships
(QSAR) analysis. The Replacement Method (RM) variable subset selection technique based on Multivariable Linear
Regression (MLR) proves to be successful for exploring 4885 molecular descriptors calculatedwith Dragon 6.
The predictive capability of the obtained models is confirmed through an external test set of compounds, Leave-
One-Out (LOO) cross-validation and Y-Randomization. The present study constitutes a first necessary computational
step for designing less toxic insecticides. |
---|