AI solution to design new tuberculosis drug
Researchers have developed a software tool that is likely to assist in creating more effective treatments for tuberculosis."This could replace our traditional trial-and-error system for drug development that is comparatively slow and expensive," said Sriram Chandrasekaran, U-M assistant professor of biomedical engineering, who leads the research.Dubbed INDIGO, short for INferring Drug Interactions using chemo Genomics and Orthology, the software tool has shown that the potency of tuberculosis drugs... Читать дальше...
