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A Systematic In Silico Search for Target Similarity Identifies Several Approved Drugs with Potential Activity against the Plasmodium falciparum Apicoplast

机译:一个系统的硅胶搜索目标相似性识别几种具有抗恶性疟原虫apicoplast潜在活性的批准药物

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摘要

Most of the drugs in use against Plasmodium falciparum share similar modes of action and, consequently, there is a need to identify alternative potential drug targets. Here, we focus on the apicoplast, a malarial plastid-like organelle of algal source which evolved through secondary endosymbiosis. We undertake a systematic in silico target-based identification approach for detecting drugs already approved for clinical use in humans that may be able to interfere with the P. falciparum apicoplast. The P. falciparum genome database GeneDB was used to compile a list of ≈600 proteins containing apicoplast signal peptides. Each of these proteins was treated as a potential drug target and its predicted sequence was used to interrogate three different freely available databases (Therapeutic Target Database, DrugBank and STITCH3.1) that provide synoptic data on drugs and their primary or putative drug targets. We were able to identify several drugs that are expected to interact with forty-seven (47) peptides predicted to be involved in the biology of the P. falciparum apicoplast. Fifteen (15) of these putative targets are predicted to have affinity to drugs that are already approved for clinical use but have never been evaluated against malaria parasites. We suggest that some of these drugs should be experimentally tested and/or serve as leads for engineering new antimalarials.
机译:针对恶性疟原虫使用的大多数药物具有相似的作用方式,因此,有必要确定替代性潜在的药物靶标。在这里,我们专注于apicoplast,一种通过二次内共生进化而来的藻源类疟疾质体样细胞器。我们采用系统的基于计算机模拟靶标的识别方法,以检测已经批准可在人类中临床使用的药物,这些药物可能会干扰恶性疟原虫的无性。恶性疟原虫基因组数据库GeneDB被用于编译包含蜂胶体信号肽的约600种蛋白质的列表。这些蛋白质中的每一种均被视为潜在的药物靶标,其预测的序列被用于询问三个不同的可免费获得的数据库(Therapeutic Target Database,DrugBank和STITCH3.1),这些数据库提供了有关药物及其主要或假定药物靶标的概要数据。我们能够鉴定出几种药物,这些药物有望与预计与恶性疟原虫无节霉菌生物学有关的四十七(47)种肽相互作用。这些推定的靶标中有十五(15)个与已批准用于临床但从未针对疟疾寄生虫进行评估的药物具有亲和力。我们建议对其中一些药物进行实验测试和/或作为设计新的抗疟药的线索。

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