Researchers at The University of Texas at Dallas and Novartis Pharmaceuticals Corp. have developed a computer-based drug discovery platform that could make the process more effective, efficient, and cost-effective. Dr. Baris Coskunuzer, professor of mathematical sciences at UT Dallas, and his colleagues developed a method based on topological data analysis to virtually screen thousands of potential drug candidates and significantly narrow the compound candidates to those most suitable for laboratory and clinical testing. The findings will be presented at the 36th Conference on Neural Information Processing Systems. In the early stages of drug discovery, researchers typically identify a biological target,