In-silico Immunomodelling of SARS-CoV-2

In-silico Immunomodelling of SARS-CoV-2

Blog Article

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a positive-sense single-strand RNA virus belonging to the Coronaviridae family, responsible for coronavirus infectious disease 2019 (COVID-19) with the rapid transmission.This study aimed to characterize and compare SARS-CoV-2 and SARS-CoV major viral proteins and predict antigen proteasomal cleavage patterns, MHC class I processing and emtek 2113 presentation, and B T-cell and anti-inflammatory epitopes.Methods: The amino acid sequences of spike surface (S) glycoprotein, membrane (M) glycoprotein, envelop (E) protein, and nucleocapsid (N) phosphoprotein was obtained from NCBI.The sequences were aligned by MEGA 7.

0 and modeled by SWISS-MODEL.The proteasomal cleavage pattern, MHC class I processing, and T-cell epitopes were predicted via IEDB analysis and EPISOFT.The B-cell epitopes were predicted by BepiPred 2.0.

Also, the prediction of anti-inflammatory epitopes was performed by AntiInflam.Results: Two major antigen proteins, S glycoprotein and M glycoprotein of SARS-CoV-2, respectively, showed 26.57% and synovex one grass 20.59% less efficiency in proteasomal cleavage and presentation to MHC class I, comparing SARS-CoV.

There were fewer B-cell predicted epitopes in SARS-CoV-2, comparing SARS-CoV.The anti-inflammatory properties of SARS-CoV-2 S glycoprotein and N protein were higher than SARS-CoV.Conclusion: It seems that the evolution of SARS-CoV-2 is on the way to reducing antigen-presenting to MHC class I and escaping cellular immunity.Moreover, the predicted hotspot epitopes potentially can be used to induce adaptive cellular immunity against SARS-CoV-2.

Besides, SARS-CoV-2 appears to be less immunopathogenic than SARS-CoV due to its higher anti-inflammatory proteins.