id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-301026-spgidqh3	Das, Shaoli	In silico Drug Repurposing to combat COVID-19 based on Pharmacogenomics of Patient Transcriptomic Data	2020-06-30		.txt	text/plain	4169	190	43	Next, using the available drug perturbational data sets from the Broad Institute Connectivity map (CMAP project 14 , we assessed how the candidate drugs targeting SARS-CoV-2-interacting proteins affect the pathways that are altered after COVID-19 or SARS infection in a time-dependent manner. To get a pathway-based estimation instead of individual genes, we calculated ssGSEA scores for the differentially enriched pathways in COVID-19 or SARS infection for all drug-treated cell lines at different dose/time points. Thereafter, combining the potential human interactome of SARS-CoV-2 from a recently published study 9 and SARS-CoV-1-interacting proteins curated in another publication 8 with drug target databases 10, 11 , drug perturbational data sets 14 , and drug sensitivity screening data sets 15 , we propose a map of the drugs that can be effective in COVID-19 treatment. Next, using the available drug perturbational data sets from the Broad Institute CMAP project, we assessed how the candidate drugs targeting SARS-CoV-2-interacting proteins affect the pathways that are altered after COVID-19 or SARS infection in a time-dependent manner.	./cache/cord-301026-spgidqh3.txt	./txt/cord-301026-spgidqh3.txt