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Ekaterina Kotelnikova, Klaus M. Frahm, Leonardo Ermann, Dima L. Shepelyansky and Oksana Kunduzova
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 causes of end-stage heart failure. The developed algorithms allow to identify 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.
Fibrosis protein-protein interactions from Google matrix analysis of MetaCore network
2021-10-20T17:30:53+02:00
LaTeX with hyperref package
2021-10-22T00:04:38-07:00
2021-10-22T00:04:38-07:00
fibrosis; Markov chains; Google matrix; directed networks; protein-protein interactions
pdfTeX-1.40.16
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