Top ranked 90 anti-viral drugs out of 3410 against SARS-CoV-2 infections proposed by Beck et al.

[25]. (DOCX)</p

Fig 2 -

(a) Volcano plot of microarray data highlighting DEGs (blue: down regulated; red: up regulated; and black: insignificant), (b) Hierarchical clustering of DEGs to visualize up-regulated and down-regulated genes.</p

Top 4 potential targets and top 3 lead compounds (drugs) based on AutoDock-Vina docking results.

Three candidate-drugs (Rapamycin, Tacrolimus, Torin-2) were selected based on their higher binding affinity scores. The 3D structure of hub protein with candidate-drugs is shown in the 4th column. The 2D Schematic diagram of hub protein with candidate-drugs interaction is given 5th column and neighbor residues (within 4 Å of the drug) are shown. Key interacting amino acids are shown in the last column.</p

List of diseases those are associated with at least one HubGs based on DisGeNET database.

(DOCX)</p

List of key chemicals, TFs and miRNAs those are interacted with DEGs and HubGs of SARS-CoV-1.

(DOCX)</p

Indications and mechanism of actions for the proposed repurposable drugs.

Indications and mechanism of actions for the proposed repurposable drugs.</p

Phylogenetic analysis of SARS-CoV, MERS-CoV and SARS-CoV-2 (COVID-19) based on Neighbor-Joining method.

SARS-CoV and MERS-CoV highly pathogenic beta coronaviruses along with SARS-like bat coronaviruses closely linked to SARS-CoV-2. Number at nodes indicates support for bootstrap (100 replicates), and the bar of scale indicates the average number of substitutions per location. The alpha coronavirus HCoV-229E sequence were considered as the out-group.</p

Identification of top ranked target proteins associated with SARS-CoV-2 infections by literature review.

Identification of top ranked target proteins associated with SARS-CoV-2 infections by literature review.</p

The overview of this study.

The overview of this study.</p

Significantly enriched GO terms and KEGG pathways with DEGs by involving HubGs in four different databases that are involved in the pathogenetic processes of SARS-CoV infections (p-value <0.05).

Significantly enriched GO terms and KEGG pathways with DEGs by involving HubGs in four different databases that are involved in the pathogenetic processes of SARS-CoV infections (p-value <0.05).</p