Project Description

The genome of SARS CoV-2 encodes proteins which perform various functions essential for the replication of the virus. By exploiting our knowledge of the 3D structures of these proteins we can identify and/or design small molecules (i.e. drugs) that bind to viral proteins to prevent them from performing their normal function. COVID-19 research groups worldwide been determining 3D structures of proteins encoded within the viral genome. The focus has been on high-profile target proteins of Cov-2, including the protease, spike protein and helicases. Perhaps surprisingly, less effort is being directed towards other promising targets for which there is structural information. We focus on two underexplored proteins, NSP9 (involved in RNA processing) and E protein (a viroporin). NSP9 helps the virus to replicate its genome. By identifying a compound that binds to NSP9, we would have a potential drug to halt viral replication in infected cells. E protein is a viroporin, forming channels in infected cell and viral membranes. Molecules which ‘plug’ the channel (“channel blockers”) are potential anti-viral drugs. For target proteins we will combine advanced molecular simulations with AI-driven identification of potential compounds to enable and accelerate identification of compounds which could be repurposed as candidate anti-viral drugs.

This project is part of the COVID-19 HPC Consortium.

Project Utilization

Number of Jobs Run To-Date Node Hours Used To-Date Number of Jobs Running Now Nodes in Use Now
532 3,879 0 0