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Structure-Based Virtual Screening: Identification of a Novel NS2B-NS3 Protease Inhibitor with Potent Antiviral Activity against Zika and Dengue Viruses

机译:基于结构的虚拟筛选:鉴定新型NS2B-NS3蛋白酶抑制剂其具有与ZIKA和登革热病毒的有效抗病毒活性

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摘要

Zika virus (ZIKV), which is associated with severe diseases in humans, has spread rapidly and globally since its emergence. ZIKV and dengue virus (DENV) are closely related, and antibody-dependent enhancement (ADE) of infection between cocirculating ZIKV and DENV may exacerbate disease. Despite these serious threats, there are currently no approved antiviral drugs against ZIKV and DENV. The NS2B-NS3 viral protease is an attractive antiviral target because it plays a pivotal role in polyprotein cleavage, which is required for viral replication. Thus, we sought to identify novel inhibitors of the NS2B-NS3 protease. To that aim, we performed structure-based virtual screening using 467,000 structurally diverse chemical compounds. Then, a fluorescence-based protease inhibition assay was used to test whether the selected candidates inhibited ZIKV protease activity. Among the 123 candidate inhibitors selected from virtual screening, compound 1 significantly inhibited ZIKV NS2B-NS3 protease activity in vitro. In addition, compound 1 effectively inhibited ZIKV and DENV infection of human cells. Molecular docking analysis suggested that compound 1 binds to the NS2B-NS3 protease of ZIKV and DENV. Thus, compound 1 could be used as a new therapeutic option for the development of more potent antiviral drugs against both ZIKV and DENV, reducing the risks of ADE.
机译:与人类严重疾病有关的Zika病毒(ZIKV)在其出现以来的迅速和全球范围内蔓延。 ZIKV和登革热病毒(DENV)密切相关,Cocirculating Zikv和Denv之间的感染的抗体依赖性增强(ADE)可能会加剧疾病。尽管有这些严重的威胁,目前没有针对ZIKV和DENV的批准的抗病毒药物。 NS2B-NS3病毒蛋白酶是一种吸引力的抗病毒靶,因为它在Polypotin裂解中起着枢转作用,这是病毒复制所必需的。因此,我们寻求识别NS2B-NS3蛋白酶的新型抑制剂。为此目的,我们使用467,000种结构各种化学化合物进行了基于结构的虚拟筛选。然后,使用荧光基蛋白酶抑制测定法测试所选候选物是否抑制ZIKV蛋白酶活性。在从虚拟筛选中选择的123个候选抑制剂中,化合物1在体外显着抑制ZIKV NS2B-NS3蛋白酶活性。此外,化合物1有效地抑制了人细胞的Zikv和Denv感染。分子对接分析表明化合物1与ZIKV和DENV的NS2B-NS3蛋白酶结合。因此,化合物1可用作对ZIKV和DENV的更有效的抗病毒药物进行新的治疗选择,降低脂肪的风险。

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