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用于探究某些传统使用的植物化学物质抗疟活性的虚拟筛选技术

Virtual Screening Techniques to Probe the Antimalarial Activity of some Traditionally Used Phytochemicals.

作者信息

Shibi Indira G, Aswathy Lilly, Jisha Radhakrishnan S, Masand Vijay H, Gajbhiye Jayant M

机构信息

Department of Chemistry, Sree Narayana College, Chempazhanthy P.O. Box: 695587, Kerala, India.

出版信息

Comb Chem High Throughput Screen. 2016;19(7):572-91. doi: 10.2174/1386207319666160420141200.

Abstract

Malaria parasites show resistance to most of the antimalarial drugs and hence developing antimalarials which can act on multitargets rather than a single target will be a promising strategy of drug design. Here we report a new approach by which virtual screening of 292 unique phytochemicals present in 72 traditionally important herbs is used for finding out inhibitors of plasmepsin-2 and falcipain-2 for antimalarial activity against P. falciparum. Initial screenings of the selected molecules by Random Forest algorithm model of Weka using the bioassay datasets AID 504850 and AID 2302 screened 120 out of the total 292 phytochemicals to be active against the targets. Toxtree scan cautioned 21 compounds to be either carcinogenic or mutagenic and were thus removed for further analysis. Out of the remaining 99 compounds, only 46 compounds offered drug-likeness as per the 'rule of five' criteria. Out of ten antimalarial drug targets, only two target proteins such as 3BPF and 3PNR of falcipain-2 and 1PFZ and 2BJU of plasmepsin-2 are selected as targets. The potential binding of the selected 46 compounds to the active sites of these four targets was analyzed using MOE software. The docked conformations and the interactions with the binding pocket residues of the target proteins were understood by 'Ligplot' analysis. It has been found that 8 compounds are dual inhibitors of falcipain-2 and plasmepsin-2, with the best binding energies. Compound 117 (6aR, 12aS)-12a-Hydroxy-9-methoxy-2,3-dimethylenedioxy-8-prenylrotenone (Usaratenoid C) present in the plant Millettia usaramensis showed maximum molecular docking score.

摘要

疟原虫对大多数抗疟药物产生了耐药性,因此开发能够作用于多靶点而非单一靶点的抗疟药物将是一种很有前景的药物设计策略。在此,我们报告一种新方法,即对72种传统重要草药中存在的292种独特植物化学物质进行虚拟筛选,以找出疟原虫天冬氨酸蛋白酶-2和恶性疟原虫蛋白酶-2的抑制剂,用于抗恶性疟原虫的抗疟活性研究。使用生物测定数据集AID 504850和AID 2302,通过Weka的随机森林算法模型对所选分子进行初步筛选,在总共292种植物化学物质中筛选出120种对目标有活性。Toxtree扫描警示21种化合物具有致癌或致突变性,因此将其去除以进行进一步分析。在其余99种化合物中,根据“五规则”标准,只有46种化合物具有药物相似性。在十个抗疟药物靶点中,仅选择两种靶蛋白作为靶点,如恶性疟原虫蛋白酶-2的3BPF和3PNR以及疟原虫天冬氨酸蛋白酶-2的1PFZ和2BJU。使用MOE软件分析所选46种化合物与这四个靶点活性位点的潜在结合。通过“Ligplot”分析了解对接构象以及与靶蛋白结合口袋残基的相互作用。已发现8种化合物是恶性疟原虫蛋白酶-2和疟原虫天冬氨酸蛋白酶-2的双重抑制剂,具有最佳结合能。存在于植物美叶崖豆藤中的化合物117(6aR,12aS)-12a-羟基-9-甲氧基-2,3-亚甲基二氧基-8-异戊烯基鱼藤酮(美叶崖豆藤素C)显示出最高的分子对接分数。

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