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首页> 外文期刊>International Journal of Basic and Applied Biology: IJBAB >Designing of Plasmodium Falciparum Leucyl Aminopeptidase Inhibitors for Substrate Ingress/Egress Path Using Virtual Screening
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Designing of Plasmodium Falciparum Leucyl Aminopeptidase Inhibitors for Substrate Ingress/Egress Path Using Virtual Screening

机译:使用虚拟筛选设计恶性疟原虫恶性亮氨酸氨基肽酶抑制剂的底物进/出路径

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Plasmodium falciparum leucyl aminopeptidase (PfAM17) is an attractive anti-malarial drug target. Discovery of PfAM17 inhibitors has been focused on targeting the active site. Nonspecificity and off target activity of known aminopeptidase inhibitorslimit their use as an antimalarial drug.Therefore, identifying newPfA-M17 inhibitors which function through a different mechanismcould complement current drug design strategies and improve drugefficacy. In this study, we explored a novel binding site of PfA-M17and identified new PfA-M17 inhibitors through receptor based virtualscreening. A library of 244,839 compounds were screened usingreceptor-based virtual screening against the predicted cavity of PfAM17, and three levels of accuracy were used: high-throughput virtualscreening, grid-based ligand docking with energetics (Glide)standard precision and Glide extra precision. Our findings reveal anew drug targeting site for malaria therapy.
机译:恶性疟原虫亮氨酰氨肽酶(PfAM17)是有吸引力的抗疟疾药物靶标。 PfAM17抑制剂的发现一直集中在靶向活性位点。已知的氨肽酶抑制剂的非特异性和脱靶活性限制了它们作为抗疟药的用途。因此,鉴定出通过不同机制发挥作用的新型PfA-M17抑制剂可以补充当前的药物设计策略并提高药效。在这项研究中,我们探索了PfA-M17的新型结合位点,并通过基于受体的虚拟筛选确定了新的PfA-M17抑制剂。使用基于受体的虚拟筛选针对PfAM17的预测腔筛选了244,839个化合物的文库,并使用了三个级别的准确性:高通量虚拟筛选,具有高能(Glide)标准精度和Glide额外精度的基于网格的配体对接。我们的发现揭示了用于疟疾治疗的新的药物靶向位点。

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