Journal of computer-aided molecular design · 2025
Computational and experimental studies to discover a promising lead compound, chemically related to natural acetylene acetogenins from Porcelia macrocarpa, against amastigotes of Leishmania (L.) infantum.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Encide João Pedro P, de Brito Ivanildo A, Amaral Maiara, Tempone Andre G, Lago João Henrique G, Honorio Kathia M
Аннотация
Previous studies of the natural acetylenic acetogenin (2S,3R,4R)-3-hydroxy-4-methyl-2-(eicos-11'-yn-19'-enyl)butanolide (1), isolated from the plant Porcelia macrocarpa, indicated its in vitro activity against the clinically relevant form of Leishmania (L.) infantum, the intracellular amastigotes and no mammalian cytotoxicity. A second chemically related acetogenin, (2S,3R,4R)-3-hydroxy-4-methyl-2-(eicos-11'-ynyl) butanolide (2), exhibited a lack of antileishmanial activity at the highest tested concentration of 150 µM. These results suggest that the terminal double bond plays a crucial role in the antileishmanial activity of these compounds. Using a computational protocol to predict the metabolism of 1, the 19'-oxirane-derivative (3) was proposed, prepared, and experimentally tested against Leishmania (L.) infantum amastigotes. Compound 3 presented twofold more potency than 1, with an EC50 value of 11.3 µM. Compounds 1-3 were also analyzed via molecular docking against L. (L.) infantum trypanothione reductase (TR) and thiol-dependent reductase 1 (TDR1), showing that the natural products 1 and 2 prefer specific regions in the active sites for lactone positioning. Docking of derivative 3 revealed interaction patterns between the different acetogenins, with the lactone moieties positioned in the same regions as compounds 1 and 2. Therefore, in silico prediction of metabolites from bioactive ligands can contribute to the design of potent derivatives, as demonstrated in this study, which aligns with our experimental findings.