MEDPNC focuses on predicting efficient personalized drug combinations for the treatment of individual cancer patients, according to their altered protein network structure.

Targeting key proteins maintaining the activity of individualized altered networks facilitates the efficient design of personalized treatments that will improve patient survival.

The reduction of multiple variable datasets to a small number of physical parameters allows MEDPNC to predict the direction of change in biological, including pathological, systems, thereby generating rationalized treatment strategies through the manipulation of specific phenotypes.