id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-257958-yehnlabq	Barh, Debmalya	Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19	2020-10-10		.txt	text/plain	5431	364	43	In this paper, using multi-omics (interactome, proteome, transcriptome, and bibliome) data and subsequent integrated analysis, we present the biological events associated with SARS-CoV-2 infection and identify several candidate drugs against this viral disease. In this paper, we have used an integrative omics approach considering the SARS-CoV-2 infected host interactome, proteome, transcriptome, and bibliome datasets and analysed the COVID-19 associated host genetic information to identify common host pathways that are deregulated during SARS-CoV-2 infection and potential drugs targeting those pathways. In our analysis, we observed SARS-CoV-2 infection shares other viral pathways such as To identify pathway specific drugs, we used the genes involved in the five most important common pathways (viral processes including all the individual virus pathways, mRNA splicing, ubiquitin mediated proteolysis, cytokine signaling in immune system, and protein processing in endoplasmic reticulum).	./cache/cord-257958-yehnlabq.txt	./txt/cord-257958-yehnlabq.txt