恶性疟原虫烯酰酰基载体蛋白还原酶(Pfenr)与中药数据库虚拟筛选有机化合物的对接分析

N. D. Malau, S. F. Azzahra
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引用次数: 4

摘要

疟疾是世界范围内严重的传染病之一。缺乏有效的疫苗和疟原虫耐药菌株的传播清楚地表明,有必要开发新的化疗药物。最近正在开发的方法是使用计算机筛选或也称为虚拟筛选来寻找一种新的抗疟疾药物。恶性疟原虫烯酰酰基载体蛋白还原酶(PfENR)是疟原虫生长的重要酶靶点之一。抑制该酶会导致II型脂肪酸的生物合成终止。本研究采用AUTODOCK VINA软件进行硅筛选,利用印尼药用植物数据库中的配体寻找PfENR抑制剂候选物。在AUTODOCK VINA软件上进行了配体与大分子靶PfENR的分子对接实验。对该目标进行了残渣去除和加药优化。配体有望成为PfENR抑制剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis Docking Of Plasmodium Falciparum Enoyl Acyl Carrier Protein Reductase (Pfenr) With Organic Compunds From Virtual Screening Of Herbal Database
Malaria is one of problematic infectious diseases worldwide. The absence of an effective vaccine and the spread of drug resistant strains of Plasmodium clearly indicate the necessity for the deveploment of new chemotherapeutic agents. Recent method being developed is searching a new drug of antimalarial using in silico screening, or also known as virtual screening. One of enzyme target that important for growth of the malaria parasite is Plasmodium falciparum Enoyl Acyl Carrier Protein Reductase (PfENR). Inhibition of this enzyme cause the fatty acid biosynthesis type II will be terminated. In this research, in silico screening was performed using AUTODOCK VINA software to find inhibitor candidates of PfENR by using ligands from the database of Medicinal Plants in Indonesia. On the AUTODOCK VINA software moleculer docking experiments were performed between ligands and macromolecule target PfENR. This target that has been optimized with residue removal and charges addition. Ligand is expected to be the PfENR inhibitors.
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