SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome

SARS-CoV-2 has intricate mechanisms for initiating infection, immune evasion/suppression and replication that depend on the structure and dynamics of its constituent proteins. Many protein structures have been solved, but far less is known about their relevant conformational changes. To address this challenge, over a million citizen scientists banded together through the Folding@home distributed computing project to create the first exascale computer and simulate 0.1 seconds of the viral proteome. Our adaptive sampling simulations predict dramatic opening of the apo spike complex, far beyond that seen experimentally, explaining and predicting the existence of 'cryptic' epitopes. Different spike variants modulate the probabilities of open versus closed structures, balancing receptor binding and immune evasion. We also discover dramatic conformational changes across the proteome, which reveal over 50 'cryptic' pockets that expand targeting options for the design of antivirals. All data and models are freely available online, providing a quantitative structural atlas. Simulations of the SARS-CoV-2 proteome that include over 0.1 s of aggregate data are reported. Spike opening was observed, revealing cryptic epitopes that differ between variants, explaining differential interactions with antibodies and receptors that determine pathogenicity. The cryptic pockets described provide new targets for antivirals and a wealth of mechanistic insight.

Automated summary

Researchers utilized the Folding@home project to simulate the viral proteome of SARS-CoV-2 and discovered 'cryptic' epitopes, with spike variants affecting the balance between receptor binding and immune evasion. The data and models generated provide valuable insight for the design of antiviral drugs.