NIH Radio
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.
Contact Us
Send questions or comments to:
Joe Balintfy
NIH News Media Branch
NIHRadio@mail.nih.gov
301-435-7557
About NIH Radio
NIH Radio offers free audio news programs from the National Institutes of Health, your reliable source for health information.
All NIH Radio content is in the public domain and can be used without charge or restriction provided that it is not used to misrepresent our agency nor used to suggest we endorse any private organization, product, or service.
NIH Radio is a service of the Office of Communications & Public Liaison.
Social Media Links