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Interactions between SARS-CoV-2 and human proteins (SARS-CoV-2 PPIs) causeinformation transfer through biochemical pathways that contribute to theimmunopathology of COVID-19. Here, we present a communication network model ofthe immune system to compute the information transferred by the viral proteinsusing the available SARS-CoV-2 PPIs data. The amount of transferred informationdepends on the reference state of the immune system, or the state withoutSARS-CoV-2 PPIs, and can quantify how many variables of the immune system arecontrolled by the viral proteins. The information received by the immune systemproteins from the viral proteins is useful to identify the biological processes(BPs) susceptible to dysregulation, and also to estimate the duration of viralPPIs necessary for the dysregulation to occur. We found that computing the dropin information from viral PPIs due to drugs provides a direct measure for theefficacy of therapies.

Communication network model of the immune system identifies the impact of interactions with SARS-CoV-2 proteins