Researchers at Gene Network Sciences (GNS) are on a mission to solve the drug industry's agonizing R&D productivity problem. Their answer: predictive computer simulations designed to reduce drug discovery time by one-third and cut R&D costs in half. As they evolve, these simulations will show how human cancer and bacterial cells behave, providing insight into which protein targets or combinations thereof will yield the strongest therapeutic impact.
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