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Targeting Dengue Virus NS-3 Helicase by Ligand based Pharmacophore Modeling and Structure based Virtual Screening

机译:基于配体的药效团建模和基于结构的虚拟筛选靶向登革热病毒NS-3解旋酶

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Dengue fever is an emerging public health concern, with several million viral infections occur annually, for which no effective therapy currently exist. Non-structural protein 3 (NS-3) Helicase encoded by the dengue virus (DENV) is considered as a potential drug target to design new and effective drugs against dengue. Helicase is involved in unwinding of dengue RNA. This study was conducted to design new NS-3 Helicase inhibitor by in silico ligand- and structure based approaches. Initially ligand-based pharmacophore model was generated that was used to screen a set of 1201474 compounds collected from ZINC Database. The compounds matched with the pharmacophore model were docked into the active site of NS-3 helicase. Based on docking scores and binding interactions, twenty five compounds are suggested to be potential inhibitors of NS3 Helicase. The pharmacokinetic properties of these hits were predicted. The selected hits revealed acceptable ADMET properties. This study identified potential inhibitors of NS-3 Helicase in silico, and can be helpful in the treatment of Dengue.
机译:登革热是一种新兴的公共卫生问题,每年有数百万的病毒感染发生,目前尚无有效的治疗方法。登革热病毒(DENV)编码的非结构蛋白3(NS-3)解旋酶被认为是设计针对登革热的新型有效药物的潜在药物靶标。解旋酶参与展开登革热RNA。进行了这项研究,以基于计算机配体和结构的方法设计新的NS-3解旋酶抑制剂。最初生成了基于配体的药效团模型,该模型用于筛选从ZINC数据库收集的一组1201​​474化合物。将与药效团模型匹配的化合物停靠在NS-3解旋酶的活性位点中。根据对接分数和结合相互作用,建议有25种化合物可能是NS3解旋酶的抑制剂。这些命中的药代动力学特性是可以预测的。所选的匹配显示出可接受的ADMET属性。这项研究确定了计算机中NS-3解旋酶的潜在抑制剂,可对登革热的治疗有所帮助。

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