Bioinformatical study on the proteomics and evolution of SARS-CoV

The 3D structure analysis of SARS-CoV S1 protein reveals a link to influenza virus neuraminidase and implications for drug and antibody discovery

The spike protein of SARS-associated coronavirus (SARS-CoV) is an important target for anti-SARS drug discovery. Its S1 domain is responsible for receptor binding and SARS-CoV entry into cells. In this study, we constructed a rational 3D model for S1 domain of SARS-CoV spike protein by fold recognition and molecular modeling techniques. We found that there is a structure similarity between S1 protein and influenza virus neuraminidase. Our analyses suggest that the existing anti-influenza virus inhibitors and anti-neuraminidase antibody could be used as a starting point for designing anti-SARS drugs, vaccines and antibodies. Interestingly, our prediction for antibody is consistent with a recently experimental discovery of anti-SARS antibody.

Structural similarity between HIV-1 gp41 and SARS-CoV S2 proteins suggests an analogous membrane fusion mechanism

SARS-associated coronavirus (SARS-CoV) has been identified as the causal agent of a new emerging disease: severe acute respiratory syndrome (SARS). Its spike protein S2 is responsible for mediating fusion of viral and cellular membrane. In this study, we modeled the 3D structure of S2 subunit and compared this model with the core structure of gp41 from HIV-1. We found that SARS-CoV S2 and gp41 share the same two α helices, suggesting that the two viruses could follow an analogous membrane fusion mechanism. Further ligand-binding analysis showed that two inhibitors GGL and D-peptide from HIV-1 gp41 may serve as inhibitors for SARS-CoV entry.