“…The potentiality of CADD has been exploited to the fullest in finding a solution for this COVID-19 outbreak. Researchers have taken the privilege of CADD including structure-based drug design, network-based drug design towards the identification of potential drug candidates against the identified viral proteins including Spike (S) protein ( Prasanth et al, 2020 ; Hall Jr and Ji, 2020 ; Wei et al, 2020 ; Fantini et al, 2020 ; BR et al, 2020 ; Cavasotto and Di Filippo, 2020 ; Vardhan and Sahoo, 2020 ; Panda et al, 2020 ), Nucleocapsid (N) protein ( Sarma et al, 2020 ; Ray et al, 2020a ; Bhowmik et al, 2020 ; Lavecchia and Fernandez, 2020 ), Envelop protein ( Bhowmik et al, 2020 ; Lavecchia and Fernandez, 2020 ; Gupta et al, 2020 ), Membrane (M) Protein ( Bhowmik et al, 2020 ), Main protease (M pro) ( Prasanth et al, 2020 ; Cavasotto and Di Filippo, 2020 ; Vardhan and Sahoo, 2020 ; Panda et al, 2020 ; Kumar et al, 2020 ), 3CL protease ( Hall Jr and Ji, 2020 ; Vardhan and Sahoo, 2020 ; Jo et al, 2020 ) of SARS-CoV-2 by using the bioinformatics tools and software ( Table 6 ). This immediate and effective action has not only predicted novel putative natural inhibitors but also re-experimented some previously used ancient synthetic drugs with antiviral activities like chloroquine (malaria), hydroxylchloroquine (maalaria), zanamivir (influenza A & B virus), indinavir (HIV), saquinavir (HIV), remdesivir (SARS-CoV), ralterravin (HIV), strptomycine, ciprofloxacin, zanamivir (influenza virus), glycyrrhizic acid (anti inflammation) etc.…”