New inhibitors of Mycobacterium tuberculosis identified using systems chemical biology

With the rise in antibiotic resistance, new drugs are desperately needed against Mycobacterium tuberculosis (Mtb). Combining chemistry and genetics, we developed a new strategy for rapidly identifying many new small molecule candidates against Mtb and shedding light on their mechanisms of action (MOA), by performing large-scale chemical screening on pooled genetic libraries containing u003e100 barcoded strains hypomorphic for individual essential genes. We created barcoded hypomorphic strains for 474 of the ~625 essential genes in Mtb and developed a multiplexed, whole-cell assay to measure strain abundance. Applying the approach with an activity-enriched, 3226 compound library and an unbiased 47,353 compound library, we characterized u003e8.5 million chemical-genetic interactions. Using machine learning, we identified u003e40 novel compounds against known MOAs, including new inhibitors of DNA gyrase, mycolic acid biosynthesis, and folate biosynthesis. By identifying highly specific chemical-genetic interactions, we identified new inhibitors of RNA polymerase and of a novel target, EfpA. Finally, we showed an inhibitor discovered by screening the hypomorphic strains could be optimized by medicinal chemistry to be active against wild-type Mtb. The results demonstrate that a systems chemical biology approach can empower discovery, prioritization, and development of compounds towards novel TB therapeutics.