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计算机药物重用以治疗丝虫感染,预测尼罗替尼和帕利帕韦可能抑制沃尔巴克氏体 5'-氨基酮戊酸合酶。

In silico drug repurposing for filarial infection predicts nilotinib and paritaprevir as potential inhibitors of the Wolbachia 5'-aminolevulinic acid synthase.

机构信息

Department of Biochemistry and Biotechnology, Kwame Nkrumah University of Science and Technology, KNUST, Kumasi, Ghana.

Kumasi Centre for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, KNUST, Kumasi, Ghana.

出版信息

Sci Rep. 2021 Apr 19;11(1):8455. doi: 10.1038/s41598-021-87976-4.

Abstract

Filarial infections affect millions of individuals and are responsible for some notorious disabilities. Current treatment options involve repeated mass drug administrations, which have been met with several challenges despite some successes. Administration of doxycycline, an anti-Wolbachia agent, has shown clinical effectiveness but has several limitations, including long treatment durations and contraindications. We describe the use of an in silico drug repurposing approach to screening a library of over 3200 FDA-approved medications against the filarial endosymbiont, Wolbachia. We target the enzyme which catalyzes the first step of heme biosynthesis in the Wolbachia. This presents an opportunity to inhibit heme synthesis, which leads to depriving the filarial worm of heme, resulting in a subsequent macrofilaricidal effect. High throughput virtual screening, molecular docking and molecular simulations with binding energy calculations led to the identification of paritaprevir and nilotinib as potential anti-Wolbachia agents. Having higher binding affinities to the catalytic pocket than the natural substrate, these drugs have the structural potential to bind and engage active site residues of the wolbachia 5'-Aminolevulinic Acid Synthase. We hereby propose paritaprevir and nilotinib for experimental validations as anti-Wolbachia agents.

摘要

丝虫感染影响了数百万人,并导致了一些严重的残疾。目前的治疗选择包括反复进行大规模药物治疗,但尽管取得了一些成功,仍面临着一些挑战。使用抗沃尔巴克氏体药物强力霉素(doxycycline)已显示出临床疗效,但存在一些局限性,包括治疗时间长和禁忌症。我们描述了一种基于计算机的药物再利用方法,利用该方法对超过 3200 种 FDA 批准的药物进行筛选,以对抗丝虫共生体沃尔巴克氏体。我们的目标是针对沃尔巴克氏体中催化血红素生物合成第一步的酶。这为抑制血红素合成提供了机会,从而剥夺了丝虫的血红素,导致随后的巨丝虫杀灭作用。高通量虚拟筛选、分子对接和结合能计算的分子模拟导致鉴定出帕立他韦(paritaprevir)和尼洛替尼(nilotinib)为潜在的抗沃尔巴克氏体药物。这两种药物与催化口袋的结合亲和力高于天然底物,具有结合并与沃尔巴克氏体 5'-氨基酮戊酸合酶的活性位点残基结合的结构潜力。我们在此提议对帕立他韦和尼洛替尼进行实验验证,作为抗沃尔巴克氏体药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2a0/8055890/5a74841b9038/41598_2021_87976_Fig1_HTML.jpg

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