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1.
Food Chem Toxicol ; 147: 111899, 2021 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-33279675

RESUMEN

Pesticides are used to control and combat insects and pests in the agricultural sector, households, and public health programs. The frequent and disorderly use of these pesticides may lead to variety of undesired effects. Therefore, natural products have many advantages over to synthetic compounds to be used as insecticides. The goal of this study was to find natural products with insecticidal potential against Musca domestica and Mythimna separata. To achieve this goal, we developed predictive QSAR models using MuDRA, PLS, and RF approaches and performed virtual screening of 117 natural products. As a result of QSAR modeling, we formulated the recommendations regarding physico-chemical characteristics for promising compounds active against Musca domestica and Mythimna separata. Homology models were successfully built for both species and molecular docking of QSAR hits vs known insecticides allowed us to prioritize twenty-two compounds against Musca domestica and six against Mythimna separata. Our results suggest that pimarane diterpenes, abietanes diterpenes, dimeric diterpenes and scopadulane diterpenes obtained from aerial parts of species of the genus Calceolaria (Calceolariaceae: Scrophulariaceae) can be considered as potential insecticidal.


Asunto(s)
Dípteros/efectos de los fármacos , Diterpenos/química , Diterpenos/farmacología , Insecticidas/farmacología , Animales , Diseño de Fármacos , Moscas Domésticas/efectos de los fármacos , Modelos Biológicos , Estructura Molecular , Relación Estructura-Actividad Cuantitativa , Scrophulariaceae/química , Sensibilidad y Especificidad
2.
J Agric Food Chem ; 68(16): 4687-4698, 2020 Apr 22.
Artículo en Inglés | MEDLINE | ID: mdl-32251592

RESUMEN

The goal of this study was to perform in silico identification of bioinsecticidal potential of 42 monoterpenes against Drosophila melanogaster and Reticulitermes chinensis Snyder. Quantitative structure-activity relationship (QSAR) modeling was performed for both organisms, while docking and molecular dynamics were used only for Drosophila melanogaster. Neryl acetate has the lowest interaction energy (-87 kcal/mol) against active site of acetylcholinesterase, which is comparable to the ones of methiocarb and pirimicarb (-90 kcal/mol) and reported PDB binder 9-(3-iodobenzylamino)-1,2,3,4-tetrahydroacridine (-112.67 kcal/mol). Interaction stability was verified by molecular dynamics simulations and showed that the stability of ACHE active site complexes with three selected terpenes is comparable to the one of the pirimicarb and methiocarb. Overall, our results suggest that pulegone, citronellal, carvacrol, linalyl acetate, neryl acetate, citronellyl acetate, and geranyl acetate may be considered as a potential pesticide candidates.


Asunto(s)
Drosophila melanogaster/efectos de los fármacos , Insecticidas/química , Insecticidas/farmacología , Isópteros/efectos de los fármacos , Monoterpenos/química , Monoterpenos/farmacología , Acetilcolinesterasa/química , Acetilcolinesterasa/metabolismo , Animales , Drosophila melanogaster/química , Drosophila melanogaster/enzimología , Proteínas de Insectos/química , Proteínas de Insectos/metabolismo , Isópteros/química , Isópteros/enzimología , Simulación del Acoplamiento Molecular , Simulación de Dinámica Molecular , Relación Estructura-Actividad Cuantitativa
3.
Mini Rev Med Chem ; 20(14): 1322-1340, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32013847

RESUMEN

The increasing number of computational studies in medicinal chemistry involving molecular docking has put the technique forward as promising in Computer-Aided Drug Design. Considering the main method in the virtual screening based on the structure, consensus analysis of docking has been applied in several studies to overcome limitations of algorithms of different programs and mainly to increase the reliability of the results and reduce the number of false positives. However, some consensus scoring strategies are difficult to apply and, in some cases, are not reliable due to the small number of datasets tested. Thus, for such a methodology to be successful, it is necessary to understand why, when and how to use consensus docking. Therefore, the present study aims to present different approaches to docking consensus, applications, and several scoring strategies that have been successful and can be applied in future studies.


Asunto(s)
Química Farmacéutica , Simulación del Acoplamiento Molecular , Algoritmos , Diseño de Fármacos , Ligandos , Análisis de Componente Principal , Unión Proteica , Proteínas/química , Proteínas/metabolismo
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