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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.cels.2021.10.005 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!