QSAR models for insecticidal properties of plant essential oils on the housefly (Musca domestica L.)

DUCHOWICZ, P.R.; BENNARDI, D.O.; ORTIZ, E.V.; COMELLI, N.C.

SAR AND QSAR IN ENVIRONMENTAL RESEARCH

TAYLOR & FRANCIS LTD

Año: 2021 vol. 32 p. 395 - 410

1062-936X

The fumigant and topical activities exhibited by 27 plant-derived essentials oils (EOs) on adult M. domestica housefly are predicted through the Quantitative Structure-Activity Relationship (QSAR) theory. These molecular structure based calculations are performed on 253 structurally diverse compounds from the EOs, where the number of constituents in each essential oil mixture varies between 2 to 24. A large number of 86,048 non-conformational mixture descriptors are derived as linear combinations of the molecular descriptors of the EO components. Two strategies are compared for the mixture descriptor formulation, which consider or avoid the use of the chemical composition. The multivariable linear regression QSAR models of the present work are useful for fumigant and topical applications, describing predictive parallelisms for the insecticidal activity of the analysed complex mixtures.