A bioinformatics approach to characterize a hypothetical protein Q6S8D9_SARS of SARS-CoV

Characterization as well prediction of the secondary and tertiary structure hypothetical proteins from their amino acid sequences uploaded in databases by silico approach are critical issues computational biology. Severe acute respiratory syndrome-associated coronavirus (SARS-CoV), which is responsible for pneumonia alike diseases, possesses a wide range many still uncharacterized. The current study was conducted to reveal physicochemical characteristics structures an uncharacterized protein Q6S8D9_SARS SARS-CoV. Following common flowchart characterizing protein, several sophisticated computerized tools e.g., ExPASy Protparam, CD Search, SOPMA, PSIPRED, HHpred, etc. were employed discover functions Q6S8D9_SARS. After delineating some quality evaluating PROCHECK, ProSA-web performed assess later active site identified also CASTp v.3.0. contains more negatively charged residues than positively high aliphatic index value make stable. 2D 3D modeled bioinformatics ensured that had domain it indicated functional having ability trouble host antiviral inflammatory cytokine interferon production pathways. Moreover, found where ligand could bind. aimed unveil features SARS-CoV can be therapeutic target development vaccines against virus. Further research needed accomplish task.