id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-255895-6at9gelt	Han, Namshik	Identification of SARS-CoV-2 induced pathways reveal drug repurposing strategies	2020-08-25		.txt	text/plain	4736	269	52	We constructed a SARS-CoV-2-induced protein (SIP) network, based on disease signatures defined by COVID-19 multi-omic datasets(Bojkova et al., 2020; Gordon et al., 2020), and cross-examined these pathways against approved drugs. This analysis identified 200 drugs predicted to target SARS-CoV-2-induced pathways, 40 of which are already in COVID-19 clinical trials(Clinicaltrials.gov, 2020) testifying to the validity of the approach. Importantly, treatment of Calu-3 and Vero E6 cell lines with Proguanil and Sulfasalazine led to a significant downregulation of the mRNA of key cytokines (Figures 4G-J and S8), which are dictated by the p38/MAPK signalling pathway and shown to become elevated during SARS-CoV-2 infection and replication (CXCL3, IFNB1 and TNF-A). Here we have used a series of computational approaches, including bespoke methods for data integration, network analysis, computer simulation and machine learning, to identify novel SARS-CoV-2 induced pathways that could be targeted therapeutically by repurposing existing and approved drugs ( Figure S9 ).	./cache/cord-255895-6at9gelt.txt	./txt/cord-255895-6at9gelt.txt