Natural Products Diversity from Genus Aspergillus: A Bioinformatics Study for Insecticidal Activity against the Aedes aegypti Vector

Computational predictive approaches present themselves as an attractive alternative in the search for new compounds that may present toxic or growth regulatory activity in Aedes aegypti. Aspergillus species is a producer of secondary metabolites with diverse biological activities. In this study, it was possible to evaluate the pharmacokinetic and toxicological properties in silico, as well as the prediction of the insecticidal biological activities of the juvenile hormone of natural substances produced by the genus Aspergillus. Initially, 187 molecules were cataloged from various species of Aspergillus spp., and only seven molecules of indole alkaloids were found to exhibit a toxic dose 50% (TD₅₀) after conducting toxicity predictions. The molecular dynamic simulation trajectories were utilized to study parameters such as root mean square deviation, root mean square fluctuation, radius of gyration and intermolecular hydrogen bond to understand the behavior and stability of proposed compounds in the binding pocket of the target protein. The N-β-acetyltryptamine molecule showed a binding affinity value of –8.100 ± 0.200 kcal mol^-1, which classifies the compound as a potential insecticidal agent against the Aedes aegypti vector.

Keywords:
Amazonian biodiversity; Aspergillus ; molecular dynamic simulation; toxicological properties