‘Semantic similarity’ leads to novel drug candidates for Parkinson’s disease

The words that researchers use to describe their results can be harnessed to discover potential new treatments for Parkinson’s disease, according to a new study publishing March 2nd in the open access journal PLoS Biology by Angus McQuibban of the University of Toronto, Canada, and colleagues. The study employed an artificial intelligence (AI) system to identify an existing anti-cholesterol drug that has the ability to promote disposal of mitochondria, energy-making components of the cell which are damaged in the disease.

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