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New active drugs against liver stages of Plasmodium predicted by molecular topology.

机译:通过分子拓扑学预测的针对疟原虫肝阶段的新活性药物。

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We conducted a quantitative structure-activity relationship (QSAR) study based on a database of 127 compounds previously tested against the liver stage of Plasmodium yoelii in order to develop a model capable of predicting the in vitro antimalarial activities of new compounds. Topological indices were used as structural descriptors, and their relation to antimalarial activity was determined by using linear discriminant analysis. A topological model consisting of two discriminant functions was created. The first function discriminated between active and inactive compounds, and the second identified the most active among the active compounds. The model was then applied sequentially to a large database of compounds with unknown activity against liver stages of Plasmodium. Seventeen drugs that were predicted to be active or inactive were selected for testing against the hepatic stage of P. yoelii in vitro. Antiretroviral, antifungal, and cardiotonic drugs were found to be highly active (nanomolar 50% inhibitory concentration values), and two ionophores completely inhibited parasite development. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay was performed on hepatocyte cultures for all compounds, and none of these compounds were toxic in vitro. For both ionophores, the same in vitro assay as those for P. yoelii has confirmed their in vitro activities on Plasmodium falciparum. A similar topological model was used to estimate the octanol/water partition of each compound. These results demonstrate the utility of the QSAR and molecular topology approaches for identifying new drugs that are active against the hepatic stage of malaria parasites. We also show the remarkable efficacy of some drugs that were not previously reported to have antiparasitic activity.
机译:我们基于先前针对约氏疟原虫的肝脏阶段进行测试的127种化合物的数据库进行了定量构效关系(QSAR)研究,以开发能够预测新化合物的体外抗疟活性的模型。拓扑指数用作结构描述符,并通过线性判别分析确定它们与抗疟活性的关系。建立了由两个判别函数组成的拓扑模型。第一个功能区分了活性和非活性化合物,第二个功能确定了活性化合物中活性最高的化合物。然后将该模型依次应用于对恶性疟原虫肝阶段具有未知活性的大型化合物数据库。选择了预测有活性或无活性的十七种药物用于体外针对约氏疟原虫肝阶段的测试。发现抗逆转录病毒,抗真菌和强心药具有很高的活性(纳摩尔浓度为50%抑制浓度),并且两个离子载体完全抑制了寄生虫的发育。在所有化合物的肝细胞培养物中进行了3-(4,5-二甲基噻唑-2-基)-2,5-二苯基四唑溴化物(MTT)测定,这些化合物在体外均无毒性。对于两种离子载体,与约氏疟原虫相同的体外测定法已证实它们对恶性疟原虫具有体外活性。使用类似的拓扑模型来估算每种化合物的辛醇/水分配。这些结果证明了QSAR和分子拓扑学方法在鉴定对疟原虫肝阶段具有活性的新药方面的实用性。我们还显示了以前没有报道过的具有抗寄生虫活性的某些药物的显着功效。

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