[Discuss] Workflow for causal reasoning of host response to coronavirus infection

[djinnome]

1. Viral-host knowledge graph based on literature citations
   • Validate Causaly assertions
   • Provide false positives and false negatives as feedback to Causaly
   • Integrate Causaly assertions with general knowledge of innate immune response and related pathways
2. data-driven Viral-host interaction network based on pharmacological, biochemistry, and chemical biology data
   • Learn molecular signatures to map this data to the viral-host knowledge graph
   • Fill in gaps in knowledge graph
3. Causal reasoning over the integrated knowledge and data graph
   • Predict determinants of viral pathogenesis
   • identify targets (or combinations of targets) for medical countermeasures

[djinnome]

Some collaborators:

1. BioDati
2. Causaly
3. Pacific Northwest National Laboratory
4. Northeastern University Causal Machine Learning