论文标题
高吞吐量筛选数据库的挖掘揭示了AP-1和自噬途径，作为COVID-19治疗的潜在目标
Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics
论文作者
论文摘要
由新的冠状病毒SARS-COV-2引起的冠状动脉病毒疾病（COVID-19）最近全球大流行，迫切需要对新的治疗候选者。许多努力都致力于筛查现有的毒品图书馆，希望将批准的药物作为Covid-19的潜在治疗方法。但是，在这些表型筛选中发现的药物的作用抗病毒机制在很大程度上是未知的。为了解散更有效的抗COVID-19药物开发的病毒靶标，我们针对994种测定法挖掘了批准的药物筛查的内部数据库，并将其活性概况与SARS-COV-2的细胞病变作用（CPE）测定中的药物活性概况进行了比较。我们发现自噬和AP-1信号通路活动曲线与抗SARS-COV-2活性曲线显着相关。此外，发现一类神经学/精神病药物在抗SARS-COV-2活性中显着富集。综上所述，这些结果为SARS-COV-2感染和COVID-19疗法的潜在靶标提供了新的见解。
The recent global pandemic of Coronavirus Disease 2019 (COVID-19) caused by the new coronavirus SARS-CoV-2 presents an urgent need for new therapeutic candidates. Many efforts have been devoted to screening existing drug libraries with the hope to repurpose approved drugs as potential treatments for COVID-19. However, the antiviral mechanisms of action for the drugs found active in these phenotypic screens are largely unknown. To deconvolute the viral targets for more effective anti-COVID-19 drug development, we mined our in-house database of approved drug screens against 994 assays and compared their activity profiles with the drug activity profile in a cytopathic effect (CPE) assay of SARS-CoV-2. We found that the autophagy and AP-1 signaling pathway activity profiles are significantly correlated with the anti-SARS-CoV-2 activity profile. In addition, a class of neurology/psychiatry drugs was found significantly enriched with anti-SARS-CoV-2 activity. Taken together, these results have provided new insights into SARS-CoV-2 infection and potential targets for COVID-19 therapeutics.
