Computational method predicts new uses for existing medici – 1
Narrator: This is NIH Health Matters. I’m Joe Balintfy. Scientists are using computers to predict new uses for existing medicines.
Butte: Not just using computers, but also using publicly available data.
Narrator: Dr. Atul Butte, an NIH grantee at Stanford University explains there is an enormous amount of data available.
Butte: So what we did was we paired the disease data along with an equivalent drug data that’s also publicly available.
Narrator: By doing a genetic “opposites attract” search on a molecular level, Dr. Butte’s group has predicted hundreds of drug-disease matches. While many were known, and already being used, others were surprises. Those will require follow-up study, but show great promise. For more information on this research, visit www.nigms.nih.gov. Health Matters is produced by the NIH, part of the U.S. Department of Health and Human Services.
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