Gene Network Sciences (Cambridge, MA) developed super-bioinformatics techniques that determine how molecules interact with one another (reverse engineering), and then assemble computer models for “in-silico” experiments (forward simulation) to discovery targets for drug intervention.  Both involved billions of calculations, but the endpoint is in coming up with a probabilistic scenario between drugs, disease states, and outcomes in patient-stratified clinical trials.  Gene Network Sciences is now working with the UCSF Cancer Center in modeling the signal transduction pathways of RAS-MAPK and P13K proteins which are involved in about one fourth of all cancers.  MORE on REFS