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Pharmacophore Modelling, Virtual Screening, and Molecular Docking Simulations of Natural Product Compounds as Potential Inhibitors of Ebola Virus Nucleoprotein

机译:天然产物化合物作为埃博拉病毒核蛋白的潜在抑制剂的药理学建模,虚拟筛选和分子对接模拟

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Ebola virus (EBOV) prevails as a serious public health issue which infected at least 27,000 people and claimed the lives of about 11,000 people in the latest Ebola outbreak in 2014. Although the vims has been known for almost 40 years, currently there is no approved drug for this vims. Hence, the development of a new drug candidate for Ebola is required to anticipate the future outbreak that may happen. In this research, about 229,538 natural product (NP) compounds were retrieved and screened using a computational approach against EBOV nucleoprotein (NP). In the beginning, all NP compounds were screened throughout computational toxicity and druglikeness prediction tests, followed by pharmacophore-based virtual screening and molecular docking simulation to identify their binding affinity and molecular interaction in the RNA-binding groove of EBOV NP. All of the results were compared to 18(3-glycyrrhetinic acid, the standard molecule of EBOV NP. In the end, about five NP compounds (UNPD213871, UNPD199951, UNPD124962, UNPD139843, and UNPD147202) were identified to have exciting activities against EBOV NP. Therefore, based on the results of this study, these compounds appeared to have potential inhibition activities against EBOV NP and can be proposed for further in silico and in vitro studies.
机译:埃博拉病毒(EBOV)作为严重的公共卫生问题而盛行,在2014年的最新埃博拉疫情中感染了至少27,000人,并夺走了约11,000人的生命。这种病毒的药物。因此,需要开发一种新的埃博拉候选药物,以预期可能发生的未来爆发。在这项研究中,使用针对EBOV核蛋白(NP)的计算方法,检索并筛选了约229,538种天然产物(NP)化合物。首先,在整个计算毒性和药物相似性预测测试中筛选所有NP化合物,然后进行基于药效团的虚拟筛选和分子对接模拟,以鉴定其在EBOV NP的RNA结合沟中的结合亲和力和分子相互作用。将所有结果与EBOV NP的标准分子18(3-甘草次酸)进行比较。最后,鉴定出约五种NP化合物(UNPD213871,UNPD199951,UNPD124962,UNPD139843和UNPD147202)具有对抗EBOV NP的激动作用因此,根据这项研究的结果,这些化合物似乎具有对EBOV NP的潜在抑制活性,可以建议用于进一步的计算机和体外研究。

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