text: 462,197,1287791917644865542,392413519,Matt Hall,"New @ncats_nih_gov pre-print - we mined almost 1,000 HTS drug repurposing datasets to find biological response correlations with #COVID19 screens. Found correlations with AP-1, and autophagy assays.  <LINK> <LINK> The pre-print can be found here: Mining of high throughput screening database reveals AP-1 and autophagy pathways as potential targets for COVID-19 therapeutics <LINK> Perhaps not surprising to learn that Ebola and MERS screening datasets also correlated with SARS-CoV-2 - that was reassuring!! <LINK>",https://arxiv.org/abs/2007.12242,"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. ","Mining of high throughput screening database reveals AP-1 and autophagy