Signalling networks play an important role in biological systems, and many diseases are the result of dysfunctional behavior in such networks. In this talk, I will present the latest progress on the OCSANA computational approach for discovering combinatorial interventions in large-scale signalling networks, first published by Vera-Licona et al. in 2013. Recent advances in combinatorial algorithms have improved the time performance significantly, and we are incorporating chemo- and pharmaco-informatic data about the drugability of specific nodes to help prioritize and explain the proposed interventions.