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The pharmaceutical industry's R&D process is excruciatingly slow and staggeringly expensive. Creating a new drug takes approximately 15 years and costs companies upwards of $600 million. With genomics, proteomics, and structural genomics producing more data and more drug targets, the drug bottleneck is only worsening. Ithaca-based Gene Network Sciences (GNS), a leader in systems biology, directly addresses these issues, accelerating drug discovery by leveraging 'omics data (proteomics, metabolomics, structural genomics) to create dynamic computer models of living cells.

By using in silico modeling to organize the vast amount of raw data available today, GNS can help companies to prioritize and validate drug targets, saving millions of dollars in development costs, and shortening, by years, the time required to make new drugs.

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