Computational methods for predicting drug targets play an increasingly vital role in drug discovery. In particular, computational approaches are useful for determining novel targets of existing drugs, since this can be used to explain off-target effects or elucidate novel drug targets. It is increasingly recognized that a multidisciplinary computational method will provide the most robust approach to this problem. To that end, I will describe work that I have done to synergistically integrate both computational structure methods and network biology methods to predict drug targets.

There will be pizza and soda.