Functional Genome analysis and drug screening by bioinformatics methods in SARS-CoV-2
Rapid order of sequence for virus species, analysis of functional genome and screening for effective drugs by bioinformatics methods are considered as significant tasks. Some bioinformatics methods for instance, sequence alignment, motif recognition, ORF identification, secondary and tertiary structure prediction, the entire genome of SARS-CoV-2 was completely analyzed. To discover effective drugs, the boundaries of binding sites were determined by SeeSAR. Moreover, potential miRNAs were anticipated by RNA base-pairing. After anticipating by using WebMGA, NCBI and GeneMark and comparison, an aggregrate of 8 credible ORFs were recognized. Even the entire genome have incredible difference with other CoVs, each ORF has high homology with SARS-CoVs (>90%). Moreover, domain creation in each ORFs was almost similar to SARS. In the DrugBank database, just 7 potential drugs were screened dependent on the sequence search module. Further anticipated restricting boundaries between drug and ORFs uncovered that 2-(N-Morpholino)-ethanesulfonic acid could bind 1# ORF in 4 distinct regions ideally. In the meantime, both benzyl (2-oxopropyl) carbamate and 4-(dimehylamina) benzoic acid have been exhibted to inhibit SARS-CoV disease effectively. Strangely, 2 miRNAs (miR-1307-3p and miR-3613-5p) were anticipated to prevent virus replication by means of focusing 3′-UTR of the genome or as biomarkers. After taking everything into account, the novel COVID-19 might have association with SARS. Drugs which are used to treat SARS may also be proved as a successful against the novel virus. Furthermore, changing miRNA expression might turn into a potential therapeutic schedule.