Fibrosis Protein-Protein Interactions from Google Matrix Analysis of MetaCore Network

Protein-protein interactions is a longstanding challenge in cardiac remodeling processes and heart failure. Here, we use the MetaCore network and the Google matrix algorithms for prediction of protein-protein interactions dictating cardiac fibrosis, a primary cause of end-stage heart failure. The developed algorithms allow identification of interactions between key proteins and predict new actors orchestrating fibroblast activation linked to fibrosis in mouse and human tissues. These data hold great promise for uncovering new therapeutic targets to limit myocardial fibrosis.

Automated summary

In this study, the MetaCore network and Google matrix algorithms were used to predict protein-protein interactions influencing cardiac fibrosis. The developed algorithms allowed for the identification of key protein interactions and prediction of new regulators linked to fibroblast activation. These findings are important for the discovery of new therapeutic targets to limit myocardial fibrosis.