In Silico Characterization of Surface Glycoprotein [QHD43416] of Severe Acute Respiratory Syndrome-Coronavirus 2

Abstract

The novel coronavirus (SARS-CoV-2) reported from Wuhan, China, that spread rapidly and cause severe acute respiratory syndrome. The disease associated with infection of SARS-CoV-2 that is referred as COVID-19 (Coronavirus Disease 2019). In the present study, the surface glycoprotein [QHD43416] of SARS-CoV-2 was characterized for structure analysis and validation to provide information about its three-dimensional structure by using in silico tools and techniques. The surface glycoprotein [QHD43416] sequence of SARS-CoV-2 was retrieved from NCBI and its PDB file was designed by using phyre2 server. The RAMPAGE and UCLA-DOE (Verify 3D) was used for analysis and validation of structure model of protein. The model quality estimation based on the ProSA. Alignment of surface glycoprotein [QHD43416], revealed homology (72% identity) with spike protein of bat coronavirus [BM48-31/BGR/2008]. The model corresponding to probability conformation with 90.5% residue of core section, 9.1 % of allowed section and 0.4 % residue of outer section in φ-ψ plot, that specifies accuracy of prediction model. The Verify 3D results shows that 59.53% residues have average 3D-1D score >= 0.2 this determines compatibility of 3D model with its amino acid sequence (1D). ProSA Z-score -11.19 represents the good quality of the model. The structure and function of coronavirus surface glycoprotein could be predicted by in silico modeling studies. The protein model will be further used for designing of vaccine / drug development against coronavirus infection.