Potential pathogenicity determinants identified from structural proteomics of sars-cov and sars-cov-2

Erica T. Prates, Michael R. Garvin, Mirko Pavicic, Piet Jones, Manesh Shah, Omar Demerdash, B. Kirtley Amos, Armin Geiger, Daniel Jacobson

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Despite SARS-CoV and SARS-CoV-2 being equipped with highly similar protein arsenals, the corresponding zoonoses have spread among humans at extremely different rates. The specific characteristics of these viruses that led to such distinct outcomes remain unclear. Here, we apply proteome-wide comparative structural analysis aiming to identify the unique molecular elements in the SARS-CoV-2 proteome that may explain the differing consequences. By combining protein modeling and molecular dynamics simulations, we suggest nonconservative substitutions in functional regions of the spike glycoprotein (S), nsp1, and nsp3 that are contributing to differences in virulence. Particularly, we explain why the substitutions at the receptor-binding domain of S affect the structure-dynamics behavior in complexes with putative host receptors. Conservation of functional protein regions within the two taxa is also noteworthy. We suggest that the highly conserved main protease, nsp5, of SARS-CoV and SARS-CoV-2 is part of their mechanism of circumventing the host interferon antiviral response. Overall, most substitutions occur on the protein surfaces and may be modulating their antigenic properties and interactions with other macromolecules. Our results imply that the striking difference in the pervasiveness of SARS-CoV-2 and SARS-CoV among humans seems to significantly derive from molecular features that modulate the efficiency of viral particles in entering the host cells and blocking the host immune response.

Original languageEnglish
Pages (from-to)702-715
Number of pages14
JournalMolecular Biology and Evolution
Volume38
Issue number2
DOIs
StatePublished - Feb 1 2021

Funding

Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725

Keywords

  • Covid-19
  • Pathogenesis
  • Proteome-wide analysis
  • Proteome-wide modeling
  • Sars-cov
  • Sars-cov-2

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