There will be a C3.ai Digital Transformation Institute Colloquium on Digital Transformation Science Webinar on Thursday, November 5 at 3:00 p.m. via Zoom. Presenting "Reconstructing SARS-COV-2 Response Pathways" will be Ziv Bar-Joseph from Carnegie Mellon University. Registration is required to attend this webinar.
Abstract: SARS-CoV-2 is known to primarily impact cells via two viral entry factors, ACE2 and TMPRSS2. However, much less is currently known about virus activity within cells. We used computational methods based on probabilistic graphical models to integrate several recent SARS-CoV-2 interaction and expression datasets with general protein-protein and protein-DNA interaction datasets. The reconstructed models display the pathways viral proteins use to drive expression in human cells and the pathways the cell uses to respond to the infection. Intersecting key proteins on these pathways with expression data from underlying conditions shown to increase mortality from SARS-CoV-2, and with knockout and phosphorylation data, identifies a few potential targets for treating cells to reduce viral loads.
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