Síntese e desenvolvimento de um modelo de QSAR para derivados do (-)-borneol contra larvas de Aedes aegypti

• Autor(a) principal: Martins, Ulisses Nicola
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFS
• Texto Completo: https://ri.ufs.br/handle/riufs/3945
• topic: Larvacidas; Aedes aegypti; QSAR; Borneol; CIENCIAS DA SAUDE::FARMACIA

Aedes aegypti is the main transmitter of vector-borne diseases such, dengue, chikungunya and zika. Hence no vaccine exists as well as drugs to reduce viremia, major strategy to prevent these diseases is controlling vector spreading. The main larvicides used are organophosphates and pyrethroids, however the indiscriminate use of these compounds gave rise Ae. aegypti resistant strains. A viable alternative to classic insecticides / larvicides is the phytochemical research of molecules, like terpenoids, component of essential oils of several plants that exhibits larvicidal activity. In this context, the aim of this study was synthetize and evaluate the activity of monoterpene (-)-borneol and twelve derivatives against Ae. aegypti larvae, using QSAR as strategy for discovery of new larvicidal agents. Reactions were carried out by esterification with acid chloride in basic medium, (-)-borneol was modificated in hydroxyl group, changing size and type of the side chain. Compounds synthetized were purified in column chromatography and characterized by NMR ¹³C, ¹H, MS and IR. LC50 was evaluated thought larvicidal assay, in each test, twenty third instar larvae were exposed to various concentrations of derivatives to 24h. From mortality data obtained, LC50 was determined though Probit analysis. The bornylchloroacetate derivative exhibited the best activity (21 ppm), but bornyl heptanoate showed no activity. The physicochemical properties of the derivatives were obtained by GAMESS® module Chem3D Ultra 7.0® software from most stable conformation of the molecule. Descriptor chosen for QSAR study was Log P, since best correlation obtained and especially to be a highly informative parameter to measure influence on the larvicidal activity. Equation was obtained by MiniTab16 ™ software by linear regression between derivatives Log P, and the activity expressed in log (1/LC50). QSAR equation without outliers exhibited quality indexes of r² = 0.944; F = 58.71; q² = 0.8442; Spress = 0.0827, indicating high predictability of the model. It was observed influence of lipophilicity on (-)-borneol derivatives larvicidal activity, suggesting that molecules with Log P value around 4.5 have optimized activity. This study may be used as a basis to guide research of new larvicides candidates.