All Publications


  • Large-scale chemical-genetics yields new M. tuberculosis inhibitor classes. Nature Johnson, E. O., LaVerriere, E., Office, E., Stanley, M., Meyer, E., Kawate, T., Gomez, J. E., Audette, R. E., Bandyopadhyay, N., Betancourt, N., Delano, K., Da Silva, I., Davis, J., Gallo, C., Gardner, M., Golas, A. J., Guinn, K. M., Kennedy, S., Korn, R., McConnell, J. A., Moss, C. E., Murphy, K. C., Nietupski, R. M., Papavinasasundaram, K. G., Pinkham, J. T., Pino, P. A., Proulx, M. K., Ruecker, N., Song, N., Thompson, M., Trujillo, C., Wakabayashi, S., Wallach, J. B., Watson, C., Ioerger, T. R., Lander, E. S., Hubbard, B. K., Serrano-Wu, M. H., Ehrt, S., Fitzgerald, M., Rubin, E. J., Sassetti, C. M., Schnappinger, D., Hung, D. T. 2019

    Abstract

    New antibiotics are needed to combat rising levels of resistance, with new Mycobacterium tuberculosis (Mtb) drugs having the highest priority. However, conventional whole-cell and biochemical antibiotic screens have failed. Here we develop a strategy termed PROSPECT (primary screening of strains to prioritize expanded chemistry and targets), in which we screen compounds against pools of strains depleted of essential bacterial targets. We engineered strains that target 474 essential Mtb genes and screened pools of 100-150 strains against activity-enriched and unbiased compound libraries, probing more than 8.5million chemical-genetic interactions. Primary screens identified over tenfold more hits than screening wild-type Mtb alone, with chemical-genetic interactions providing immediate, direct target insights. We identified over 40 compounds that target DNA gyrase, the cell wall, tryptophan, folate biosynthesis and RNA polymerase, as well as inhibitors that target EfpA. Chemical optimization yielded EfpA inhibitors with potent wild-type activity, thus demonstrating the ability of PROSPECT to yield inhibitors against targets that would have eluded conventional drug discovery.

    View details for DOI 10.1038/s41586-019-1315-z

    View details for PubMedID 31217586