Neonicotinoids activity against Cowpea aphids by computational estimation

In this study, the insecticidal activity against Cowpea aphids (Aphis craccivora) of a series of 23 phenylazo, pyrrole, dihydropyrrolefused and chainopening nitromethyleneneonicotinoids was evaluatedby using the multiple linear regression (MLR) and pharmacophore modelling. Conformer insecticide ensembles were modeled using the MMFF94s force field. Minimum energy conformers were employed to calculate structural parameters, which were related to the experimental pLC50 values. Several statistical criteria of goodness of fit and predictivity were checked to validate the models. Robust and predictable MLR models were obtained. Further, the Phase module from Schrodinger suite was engaged in the generation of the ligandbased pharmacophore models. The atombased 3DQSAR module from the aforementioned software was used for the validation of a best fourpoint pharmacophore model. The obtained significant statistical parameters attested thepharmacophore model validity. The MLR and pharmacophore models are useful for the prediction of new insecticides with activity against Cowpea aphids.