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Identification of New Human Malaria Parasite Plasmodium Falciparum Dihydroorotate Dehydrogenase Inhibitors by Pharmacophore and Structure-Based Virtual Screening

机译:通过药理学和基于结构的虚拟筛选鉴定新的人类疟疾寄生虫恶性疟原虫二氢乳清酸脱氢酶抑制剂

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摘要

Plasmodium falciparum dihydroorotate dehydrogenase (PfDHODH), a key enzyme in the de novo pyrimidine biosynthesis pathway, which the Plasmodium falciparum relies on exclusively for survival, has emerged as a promising target for antimalarial drugs. In an effort to discover new and potent PfDHODH inhibitors, 3D-QSAR pharmacophore models were developed based on the structures of known PfDHODH inhibitors and the validated Hypo1 model was used as a 3D search query for virtual screening of the National Cancer Institute database. The virtual hit compounds were further filtered based on molecular docking and Molecular Mechanics/Generalized Born Surface Area binding energy calculations. The combination of the pharmacophore and structure-based virtual screening resulted in the identification of nine new compounds that showed >25% inhibition of PfDHODH at a concentration of 10 μM, three of which exhibited IC50 values in the range of 0.38–20 μM. The most active compound, NSC336047, displayed species-selectivity for PfDHODH over human DHODH and inhibited parasite growth with an IC50 of 26 μM. In addition to this, thirteen compounds inhibited parasite growth with IC50 values of ≤ 50 μM, four of which showed IC50 values in the range of 5–12 μM. These compounds could be further explored in the identification and development of more potent PfDHODH and parasite growth inhibitors.
机译:恶性疟原虫专门用于生存的从头嘧啶生物合成途径中的关键酶恶性疟原虫二氢乳清酸脱氢酶(PfDHODH)已经成为抗疟药的有希望的靶标。为了发现新型有效的PfDHODH抑制剂,基于已知PfDHODH抑制剂的结构开发了3D-QSAR药效团模型,并将经过验证的Hypo1模型用作3D搜索查询,以对美国国家癌症研究所的数据库进行虚拟筛选。基于分子对接和分子力学/广义生化表面积结合能计算进一步过滤虚拟命中化合物。药效基团和基于结构的虚拟筛选相结合,鉴定出九种新化合物,它们在10μM的浓度下对PfDHODH的抑制作用均大于25%,其中三个的IC50值在0.38–20μM的范围内。活性最高的化合物NSC336047对PfDHODH的选择性优于人类DHODH,并抑制了寄生虫的生长,IC50为26μM。除此之外,还有13种化合物抑制了寄生虫的生长,IC50值≤50μM,其中四种具有5-12μM的IC50值。在鉴定和开发更有效的PfDHODH和寄生虫生长抑制剂时,可以进一步探索这些化合物。

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