![]() ![]() ![]() “It is hard to believe, but even some commonly used drug combinations were never measured quantitatively. ![]() “The theoretical foundations of MuS圜 immediately pose the question of whether drug combinations that are currently deployed as standard of care should undergo a process of rethinking and retesting within a rigorous framework that quantitatively measures antagonism and synergism,” Quaranta said. “Therefore, I believe understanding this process with rigor will accelerate progress in many areas of biological research.”ĭavid Wooten, PhD’18, and Christian Meyer, PhD’20, who both have backgrounds in physics, imagined the MuS圜 project and, in an initial publication in the journal Cell Systems, explained that MuS圜 has the “potential to transform the enterprise of drug-combination screens.” MuS圜 acts by precisely guiding researchers and physicians to combinations of drugs they can prescribe to patients at lower doses, with improved efficacy, or both. “Drug synergy-or, for that matter, synergy of perturbations to a cell-has been a hotly debated topic for decades,” Lopez said. “The MuS圜 approach opens the way for systematic screening of drug combination, bordering into AI applications when interfaced with databases of chemical compound structures,” said Quaranta, also director of the Quantitative Systems Biology Center. Lopez and Quaranta built reliable synergy metrics and a unique algorithm called MuS圜-named in homage to Vanderbilt’s home in the heart of Music City-to simplify the analysis that determines the efficacy and potency of certain drug combinations against cancer and other diseases. The findings establish a new way to understand, measure and analyze drug synergy and combination. This research led by Vito Quaranta, professor of biochemistry, and Carlos Lopez, associate professor of biochemistry, was published in Nature Communications on July 29. It also develops an open-source analysis tool to help speed such discoveries around the world. Pioneering research from Vanderbilt scientists identifies a measurement system for how well medications work together to help researchers devise new combinations of drugs. The Idea Carlos Lopez (Vanderbilt University) Vito Quaranta (Vanderbilt University) ![]()
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