id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-339431-kyr5lv15	Saçar Demirci, Müşerref Duygu	Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection	2020-03-17		.txt	text/plain	2323	163	52	In the case of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there are several mechanisms that would make miRNAs impact the virus, like interfering with replication, translation and even modulating the host expression. In this study, we performed a machine learning based miRNA prediction analysis for the SARS-CoV-2 genome to identify miRNA-like hairpins and searched for potential miRNA – based interactions between the viral miRNAs and human genes and human miRNAs and viral genes. Although there are studies regarding to the viral replication and their interaction with host innate immune system, the role of miRNA-mediated RNA-silencing in SARS-CoV-2 infection has not been enlightened yet. In this study, SARS-CoV-2 genome was searched for miRNA-like sequences and potential host-virus interactions based on miRNA actions were analyzed. In our study, we have also identified possible miRNA like small RNAs from SARS-CoV-2 genome which target important human genes.	./cache/cord-339431-kyr5lv15.txt	./txt/cord-339431-kyr5lv15.txt