In Silico Study to Predict and Characterize SARS-CoV-2 Surface Glycoprotein

Introduction: Coronavirus family member SARS- CoV-2 is a current worldwide threat. It enters into the epithelium membrane of respiratory tract with the help of its antigenic spike proteins and cause Coronavirus disease 2019 (COVID -19). Methods: Considering SARS- CoV-2 a potent vaccine or diagnostic candidate, a bioinformatical study was done to determine its structure homology modeling, physiological properties and structure validation with presence of antigenic sites. Results: The surface glycoprotein of SARS-CoV-2 was found to be a stable protein with stereochemically good structure. It also contains 65 antigenic sites. Conclusion: The present study suggests further wet-lab research to develop a vaccine or diagnostic kit using this promising surface glycoprotein.