Some octopamine agonists were found to suppress in vitro biosynthesis of the calling pheromone of the Indian meal moth, Plodia interpunctella. Isolated pheromone-gland preparations incorporated sodium [14C]acetate at a linear rate for 3 h when incubated with the pheromone biosynthesis activating neuropeptide (PBAN). This incorporation was dependent on the dose of PBAN (up to 0.5 microM). Thin-layer chromatography of a pheromone-gland extract revealed quantitative incorporation of radioactivity into a product exhibiting the same mobility as (Z,E)-9,12-tetradecadienyl acetate, the main component of the calling pheromone of P interpunctella. Twenty-seven octopamine agonists were initially screened using a calling behaviour bioassay of female P interpunctella. Four derivatives with activity in the nanomolar range were identified which were, in order of decreasing pheromonostatic activity: 2-(2,6-diethylphenylimino)thiazolidine > 2-(2,6-diethylphenylimino)oxazolidine > 2-(2,6-dimethylphenylimino)thiazolidine > 2-(2-ethylphenylimino)oxazolidine. These compounds also showed in vitro inhibitory activity in intracellular de novo pheromone biosynthesis. The results of the present study indicate that these derivatives could provide useful information in the characterization and differentiation of octopaminergic receptor types and subtypes.

No abstract

No abstract

The quantitative structure-activity relationship (QSAR) of a set of 29 agonists for tyramine (TA) receptor responsible for the inhibition of sex-pheromone production in Plodia interpunctella, was analyzed using comparative receptor surface analysis (CoRSA). Using the common steric and electrostatic features of the most active members of a series of compounds, CoRSA generated a virtual receptor model, represented as points on a surface complementary to the van der Waals or Wyvill steric surface of the aligned compounds. Three-dimensional energetics descriptors were calculated from receptor surface model (RSM)/ligand interaction and these three-dimensional descriptors were used in genetic partial least squares data analysis to generate a QSAR model, giving a 3D QSAR with r(2)=0.969 for calibration and CV- r(2)=0.635 for the leave-one-out cross validation.

No abstract