novel coronavirus appeared in Wuhan

China has led to major outbreaks. Recently

rapid classification of virus species

analysis of genome and screening for effective drugs are the most important tasks. In the present study

through literature review

sequence alignment

ORF identification

motif recognition

secondary and tertiary structure prediction

the whole genome of SARS-CoV-2 were comprehensively analyzed. To find effective drugs

the parameters of binding sites were calculated by SeeSAR. In addition

potential miRNAs were predicted according to RNA base-pairing. After prediction by using NCBI

WebMGA and GeneMark and comparison

a total of 8 credible ORFs were detected. Even the whole genome have great difference with other CoVs

each ORF has high homology with SARS-CoVs (>90%). Furthermore

domain composition in each ORFs was also similar to SARS. In the DrugBank database

only 7 potential drugs were screened based on the sequence search module. Further predicted binding sites between drug and ORFs revealed that 2-(N-Morpholino)-ethanesulfonic acid could bind 1# ORF in 4 different regions ideally. Meanwhile

both benzyl (2-oxopropyl) carbamate and 4-(dimehylamina) benzoic acid have bene demonstrated to inhibit SARS-CoV infection effectively. Interestingly

2 miRNAs (miR-1307-3p and miR-3613-5p) were predicted to prevent virus replication via targeting 3′-UTR of the genome or as biomarkers. In conclusion

the novel coronavirus may have consanguinity with SARS. Drugs used to treat SARS may also be effective against the novel virus. In addition

altering miRNA expression may become a potential therapeutic schedule.