Novel computational tool for identifying synergistic drug combinations developed

Researchers at the Icahn School of Medicine at Mount Sinai have developed a powerful computational tool, named iDOMO, to improve the prediction of drug synergy and accelerate the development of combination therapies for complex diseases. The study, published in Briefings in Bioinformatics on February 20, highlights iDOMO’s ability to identify synergistic drug combinations using gene expression data, outperforming existing methods.