id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-333080-qytwbsne	Alahari, Suresh K.	SARS-CoV infection crosstalk with human host cell noncoding-RNA machinery: An in-silico approach	2020-07-28		.txt	text/plain	2244	123	49	Altogether, TGF-beta signaling pathway as well as hub miRNAs, and LncRNAs involve during SARS-CoV pathogenesis can be considered as potential therapeutic targets. Developing functional computational models and networks to predict potential SARS-CoV -miRNA/lncRNA association may benefit not only the understanding of COVID-19 mechanism at the noncoding RNA level, but also the detection of disease biomarkers for disease diagnosis, treatment, prognosis, and prevention. Since multiple ways of interaction between miRNAs, lncRNAs, and mRNA have been reported to play key roles in determining the cellular functions during viral infection, it is essential to discover these interactions in an integrated fashion to comprehensively decipher the networks and key regulatory noncoding-RNA hubs underpinning the pathology of SARS-CoV. Our in-silico analysis has built a network of protein-protein interaction between the Human SARS coronavirus (SARS-CoV) and host proteome (Figure 1) , as well as strong miRNA-mRNA-lncRNA crosstalk ( Figure 4 and Table 2 ) possibly modulating the human response to the viral infection.	./cache/cord-333080-qytwbsne.txt	./txt/cord-333080-qytwbsne.txt