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首页> 外文期刊>Asian Journal of Pharmaceutical and Clinical Research >IN-SILICO SCREENING AGAINST ANTIMALARIAL TARGET PLASMODIUM FALCIPARUM ENOYL-ACYL CARRIER PROTEIN REDUCTASE
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IN-SILICO SCREENING AGAINST ANTIMALARIAL TARGET PLASMODIUM FALCIPARUM ENOYL-ACYL CARRIER PROTEIN REDUCTASE

机译:硅胶针对恶性疟原虫恶性疟原虫烯丙基酰基载体蛋白还原酶的筛选

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Objective: Malaria is a parasitic infection that causes worldwide health problems. The absence of an effective vaccine and Plasmodium strains that are resistant to antimalarial drugs emphasize the importance of developing new chemotherapeutic agents. The use of computers for in-silico screening, or virtual screening, is currently being developed as a method for discovering antimalarial drugs. One of the enzymes that can support the development of the malaria parasite is the Plasmodium falciparum enoyl-acyl carrier protein reductase (PfENR). Inhibition of these enzymes leads to Type II lipid biosynthesis inhibition on the parasite. Methods: This research investigates the use of virtual screening to find PfENR inhibitor candidates. A molecular docking method using GOLD software and the medicinal plants in Indonesia database will be used. This target has been optimized by the removal of residues and the addition of charge. Ligand is expected to be an inhibitor of PfENR. Results: In-silico screening, or virtual screening, found that the top five compounds with the highest GOLD score at trial are kaempferol 3-rhamnosyl- (1-3)-rhamnosyl-(1-6)-glucoside; cyanidin 3,5-di-(6-malonylglucoside); 8-hydroxyapigenin 8-(2’’, 4’’-disulfato glucuronide); epigallocatechin 3,5,-di- O-gallat; quercetin 3,4’-dimethyl ether 7-alpha-L-arabinofuranosyl-(1-6)-glucoside. They had GOLD scores of 94.73, 95.90, 86.46, 85.39, and 84.40, respectively. Conclusions: There are two candidate inhibitor compounds from tea ( Camellia sinensis ), which have potential for development as an antimalarial drug, which are kaempferol 3-rhamnosyl-(1-3)-rhamnosyl-(1-6)-glucoside and epigallocatechin 3,5,-di-O-gallate, with a GOLD score of 94.73 and 85.39, respectively.
机译:目的:疟疾是一种寄生虫感染,会引起全世界的健康问题。缺乏有效的疫苗和抗疟疾药物的疟原虫菌株强调了开发新的化学治疗剂的重要性。目前正在开发使用计算机进行计算机内筛选或虚拟筛选,作为发现抗疟疾药物的方法。可以支持疟原虫生长的酶之一是恶性疟原虫烯酰基-酰基载体蛋白还原酶(PfENR)。这些酶的抑制导致II型脂质生物合成对寄生虫的抑制。方法:本研究调查了使用虚拟筛选来查找PfENR抑制剂候选物的方法。将使用使用GOLD软件的分子对接方法和印度尼西亚数据库中的药用植物。通过去除残留物和添加电荷优化了该目标。预期配体是PfENR的抑制剂。结果:计算机筛选或虚拟筛选发现,在试验中,GOLD得分最高的前五种化合物为山奈酚3-鼠李糖基-(1-3)-鼠李糖基-(1-6)-葡萄糖苷;花青素3,5-二-(6-丙二酰葡萄糖苷); 8-hydroxyapigenin 8-(2’,4’-disulfato lucuronide);表没食子儿茶素3,5,-di-O-gallat;槲皮素3,4'-二甲醚7-α-L-阿拉伯呋喃糖基-(1-6)-葡萄糖苷。他们的GOLD分数分别为94.73、95.90、86.46、85.39和84.40。结论:茶中有两种候选抑制剂化合物,它们有可能发展为抗疟药,分别是山奈酚3-鼠李糖基-(1-3)-鼠李糖基-(1-6)-葡萄糖苷和表没食子儿茶素3。 ,5,-di-O-gallate,GOLD评分分别为94.73和85.39。

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