| Literature DB >> 31217586 |
Eachan O Johnson1,2,3, Emily LaVerriere1,4, Emma Office1, Mary Stanley1,5, Elisabeth Meyer1,6, Tomohiko Kawate1,2,3, James E Gomez1, Rebecca E Audette7,8, Nirmalya Bandyopadhyay1, Natalia Betancourt9,10, Kayla Delano1, Israel Da Silva9, Joshua Davis1,11, Christina Gallo1,12, Michelle Gardner7, Aaron J Golas1, Kristine M Guinn7, Sofia Kennedy1, Rebecca Korn1, Jennifer A McConnell9, Caitlin E Moss13,14, Kenan C Murphy13, Raymond M Nietupski1, Kadamba G Papavinasasundaram13, Jessica T Pinkham7, Paula A Pino9, Megan K Proulx13, Nadine Ruecker9, Naomi Song9, Matthew Thompson1,15, Carolina Trujillo9, Shoko Wakabayashi7, Joshua B Wallach9, Christopher Watson1,16, Thomas R Ioerger17, Eric S Lander1, Brian K Hubbard1, Michael H Serrano-Wu1, Sabine Ehrt9, Michael Fitzgerald1, Eric J Rubin7, Christopher M Sassetti13, Dirk Schnappinger9, Deborah T Hung18,19,20.
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 8.5 million 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.Entities:
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Year: 2019 PMID: 31217586 DOI: 10.1038/s41586-019-1315-z
Source DB: PubMed Journal: Nature ISSN: 0028-0836 Impact factor: 49.962