Detective algorithm predicts best drugs for genetic disorders and cancer

Ben Lehner (left) and Fran Supek (right), the co-corresponding authors of the research. Credit: Centre for Genomic Regulation A computational model built by researchers at the Institute of Research in Biomedicine (IRB Barcelona) and the Centre for Genomic Regulation (CRG) can predict which drugs will be most effective in treating diseases caused by mutations that can bring protein synthesis to a halt, resulting in unfinished proteins. The findings, published today in Nature Genetics, mark an important step in helping personalize treatment by matching patients with specific mutations with the most promising drug candidate. The predictive model, a publicly available resource Read More