Researchers at Stanford University are using computers and genomic information to predict new uses for existing medicines by analyzing genomic and drug data.
The scientists drew their data from the NIH National Center for Biotechnology Information Gene Expression Omnibus, a publicly available database that contains the results of thousands of genomic studies on a wide range of topics, submitted by researchers across the globe.
The database catalogs changes in gene activity under various conditions, such as in diseased tissues or in response to medications.
The researchers focused on 100 diseases and 164 drugs. They created a computer program to search through the thousands of possible drug-disease combinations to find drugs and diseases whose gene expression patterns essentially cancelled each other out.
To read the full, original article click on this link: Computational method predicts new uses for existing medicines | KurzweilAI
