Post-Genomics

With so much genomics data and putative drug targets to sift through, drug developers cannot risk making research resource allocation decisions before correlating gene and protein function with a disease process. The need has spawned a new generation of post-genomics companies focused on developing tools for validating drug targets, including smart screening methodologies and cell-based assays, and on ways to better organize and characterize genomics and proteomics data.

A year ago, Nobel Laureate Philip Sharp of the Massachusetts Institute of Technology cautioned against overstating the power of technology to address biological questions. "You've first got to understand the disease process," he explained, "then you'll understand how to intervene in it…If you can't bring the technology in contact with the disease and understand the nature of the disease, you will let the technology per se drive your thinking. And you will find it very hard to be successful." (See"Five Perspectives from the Ivory Tower," START-UP, January 1999 [A#1999900013.) Ira Mellman, PhD, of the Yale University School of Medicine and founder of the cell biology/target validation start-up, Cellular Genomics Inc. , is more blunt: "As spectacular as high-throughput genomic and proteomic advances have been," he says, "they are all coming to a halt at the door of cell biology."

They're right, to be sure. So much genomics data exist, so many putative drug targets are being uncovered, so much...

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