The power of the technique was demonstrated by research published in August by Olivier Lichtarge of Baylor College of Medicine, in Houston, Texas, and his colleagues. In collaboration with Dr Gordon’s group, they employed it to hunt for proteins called kinases that activate another protein, p53, which curbs the growth of cancers. They used the software to read the abstracts of 186,879 papers and produced a list of the most promising kinases for experiments. The twist was that the papers in question were all published before 2003. That meant Dr Lichtarge could check to see if the Watson-based approach came to the same conclusions as those arrived at by human researchers over the subsequent ten years. And it did. Of the top nine kinases the software picked, seven have subsequently been shown to activate p53.
Posted on: Mon, 06 Oct 2014 07:24:24 +0000
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