Application of soft regularized markov clustering for analyzing protein-protein interaction in sars-cov-2 and other related coronavirus

Covid-19 is a global disease that has already infected people in the various parts of world with increasing cases each day. So far, there been around 20 million have occurred world. Furthermore, lot research conducted to overcome and cure this disease. One studies was uses protein-protein interactions (PPI) Sars-Cov-2 other coronavirus analyze on virus which can be used find out more about how interacts other. In study, we Markov Clustering (MCL) virus. There are many variations studies, one study Soft Regularized (SR-MCL). This model ensure modules protein do not overlap for better analysis. The result shows SR-MCL determine cluster from PPI related coronavirus.