Consequential drug combinations for tuberculosis treatments

Improved therapies for tuberculosis will require the careful revision of complex, multi-drug regimens. In this issue of Cell Systems, Larkins-Ford et al. integrate extensive dose-response measurements of drug combinations, in vivo animal data, and computational analysis to provide a new predictive framework for the prioritization of specific antitubercular drug regimens.