广告
数量结构-活动关系
生物信息学
虚拟筛选
青蒿素
恶性疟原虫
药物发现
天然产物
背景(考古学)
基于生理学的药代动力学模型
药理学
计算生物学
羽扇豆碱
药品
抗疟药
药代动力学
疟疾
化学
生物
立体化学
生物化学
免疫学
古生物学
基因
作者
Letícia Tiburcio Ferreira,Joyce Villa Verde Bastos Borba,José Teófilo Moreira‐Filho,Aline Rimoldi,Carolina Horta Andrade,Fábio Trindade Maranhão Costa
出处
期刊:Biomolecules
[Multidisciplinary Digital Publishing Institute]
日期:2021-03-19
卷期号:11 (3): 459-459
被引量:34
摘要
With about 400,000 annual deaths worldwide, malaria remains a public health burden in tropical and subtropical areas, especially in low-income countries. Selection of drug-resistant Plasmodium strains has driven the need to explore novel antimalarial compounds with diverse modes of action. In this context, biodiversity has been widely exploited as a resourceful channel of biologically active compounds, as exemplified by antimalarial drugs such as quinine and artemisinin, derived from natural products. Thus, combining a natural product library and quantitative structure–activity relationship (QSAR)-based virtual screening, we have prioritized genuine and derivative natural compounds with potential antimalarial activity prior to in vitro testing. Experimental validation against cultured chloroquine-sensitive and multi-drug-resistant P. falciparum strains confirmed the potent and selective activity of two sesquiterpene lactones (LDT-597 and LDT-598) identified in silico. Quantitative structure–property relationship (QSPR) models predicted absorption, distribution, metabolism, and excretion (ADME) and physiologically based pharmacokinetic (PBPK) parameters for the most promising compound, showing that it presents good physiologically based pharmacokinetic properties both in rats and humans. Altogether, the in vitro parasite growth inhibition results obtained from in silico screened compounds encourage the use of virtual screening campaigns for identification of promising natural compound-based antimalarial molecules.
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