MAPPING BIOLOGICAL DATA TO DIGITAL DATA The emergence of molecular biology has produced a vast literature on the cellular function of individual genes and their protein products. It has also generated massive amounts of molecular interaction data derived from high-throughput methods as well as more classical low-throughput methods, such as immunoprecipitation, immunoblotting, and yeast two-hybrid systems. From this accumulation of interaction data, researchers can now attempt to reconstruct and analyses the highly complex molecular networks involved in cellular function. Intracellular molecular networks are known to be highly deregulated in a number of diseases, most notably in cancer, and targeted molecular inhibitors have emerged as a leading anti-cancer strategy. Despite promising pre-clinical studies, many targeted inhibitors are beset by harmful off-target effects and/or lower than expected efficacy in the clinic. The large number of off-target effects associated with m