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Structure-based drug designing and immunoinformatics approach for SARS-CoV-2

机译:基于结构的SARS-COV-2药物设计和免疫信息方法

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摘要

The prevalence of respiratory illness caused by the novel SARS-CoV-2 virus associated with multiple organ failures is spreading rapidly because of its contagious human-to-human transmission and inadequate globalhealth care systems. Pharmaceutical repurposing, an effective drug development technique using existing drugs, could shorten development time and reduce costs compared to those of de novo drug discovery. We carried out virtual screening of antiviral compounds targeting the spike glycoprotein (S), main protease (Msuppro/sup), and the SARS-CoV-2 receptor binding domain (RBD)–angiotensin-converting enzyme 2 (ACE2) complex of SARS-CoV-2. PC786, an antiviral polymerase inhibitor, showed enhanced binding affinity to all the targets. Furthermore, the postfusion conformation of the trimeric S protein RBD with ACE2 revealed conformational changes associated with PC786 drug binding. Exploiting immunoinformatics to identify T cell and B cell epitopes could guide future experimental studies with a higher probability of discovering appropriate vaccine candidates with fewer experiments and higher reliability.
机译:由于其具有传染性人与人的传输和全球医期保健系统不足,由多种器官故障引起的呼吸道疾病引起的呼吸疾病引起的患病率迅速蔓延。药物重新淘压,一种使用现有药物的有效药物开发技术,可以缩短开发时间并降低与Novo药物发现相比的成本。我们对靶向穗糖蛋白,主要蛋白酶(M PRO )的虚拟筛选抗病毒化合物,以及SARS-COV-2受体结合结构域(RBD)转化酶2( ace2)SARS-COV-2的复合物。 PC786是一种抗病毒聚合酶抑制剂,显示出对所有靶标的增强的结合亲和力。此外,三聚体S蛋白RBD与ACE2的复发构象揭示了与PC786药物结合相关的构象变化。利用免疫信息学鉴定T细胞和B细胞表位可以引导未来的实验研究,以较高的实验候选较高的疫苗候选概率和更高的实验和更高的可靠性。

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