TB 10-drug DiaMOND compendium

Published: 1 September 2021| Version 1 | DOI: 10.17632/m2y7jpz4wz.1
Bree Aldridge


Our goal was to use systematic drug combination data from in vitro studies to prioritize drug combinations for in vivo study. We used DiaMOND (DOI: 10.1126/sciadv.1701881) to systematically measure drug combination interactions and potencies against Mycobacterium tuberculosis (Erdman strain). This dataset includes all 1-, 2-, and 3-way combinations of a 10-drug set of antibiotics in eight different in vitro models. With these data, we demonstrated that treatment outcomes in two important preclinical mouse models could be predicted using signatures of drug interaction and potency metrics. File 1 (Data cube) includes the antibiotics, in vitro models, time points, and dose-response metrics. File 2 (IC90) includes the 90% inhibitory concentration of the 10 antibiotics in each in vitro model at the terminal time point. File 3 (Abbreviations) includes abbreviations and descriptions used in the Data cube and IC90 files. These data and more detailed descriptions of the experiments and analysis are in Larkins-Ford et al 2021.



Tufts University


Microbiology, Drug-Drug Interaction, Antibiotics, Drug, Dose Response, Tuberculosis