This manuscript proposes a method to create combinations of drugs that could potentially be synergistic in nature by looking at process and connectivity information for their targets in order to screen combinations of drugs that are acting upon a common mechanism within a biological system. The specific challenge identified by the coordinators that was undertaken was to not use training data to try and make predictions for drug combinations that are synergistic. This was done using an existing mathematical model, but trying to give the model parameters outside its normal range. The approaches that were used were done in order to use existing biological knowledge about how potential drug targets are connected and use this connectivity information Indirect connections. In this case the network was constructed so that the pathway boundary was not a limitation to connections. A gene product or protein can be connected with a pathway but the pathway shares something in common with the next pathway.