# Discovery of novel lead-target pairs and identification of all-oral bactericidal drug regimens for Mycobacterium abscessus lung disease > **NIH NIH R01** · HACKENSACK UNIVERSITY MEDICAL CENTER · 2024 · $892,054 ## Abstract ABSTRACT Mycobacterium abscessus (Mab) accounts for most pulmonary infections caused by fast-growing non- tuberculous mycobacteria (NTM). Incidence and prevalence rates are increasing throughout the developed world, there is currently no reliable cure for Mab lung disease, and the drug development pipeline is limited to repurposed and largely underperforming antibiotics. During the previous funding cycle, we have leveraged 2 decades of chemical matter, tools and concepts developed by the TB community to build an attractive anti-Mab drug discovery portfolio of 8 novel advanced lead compounds with demonstrated efficacy in an immunocompromised Mab mouse model. Meanwhile, we have optimized an immune-competent model with separately acquired funds to address the caveats of immunodeficiency. We have also uncovered the intrinsic mechanism by which Mab resists rifamycins and used this knowledge to synthesize 20- to 100-fold more potent analogs with 50- to 100-fold improved pharmacokinetic-pharmacodynamic parameters. Using targeted drug combination approaches, we have uncovered outstanding bactericidal synergies between (i) rifabutin, moxifloxacin and tebipenem, and (ii) amoxicillin and each of sulopenem, tebipenem and cefuroxime, all oral - lactams that are approved or in late clinical development, acting synergistically due to the combined inhibition of complementary/redundant peptidoglycan synthesis enzymes. Building on these promising results, the major goals of this renewal application are (i) to advance promising hits and optimize early leads, (ii) to populate the Mab preclinical candidate pipeline and (iii) to identify all-oral bactericidal combination regimens ready to enter clinical trials. Our team of antimycobacterial drug discovery experts in microbiology and pharmacology will continue to leverage the successful partnerships established with external chemistry collaborators. As in the previous funding cycle, we will access compound collections and medicinal chemistry support from academic and Pharma partners, a business model that has proven successful. The hit-to-lead and lead optimization programs will capitalize on our successes with a novel class of non-fluoroquinolone gyrase inhibitors, rifamycin and non-rifamycin RNA polymerase inhibitors, to deliver leads and preclinical development candidates with efficacy in the immuno-compromised and -competent mouse models. To prioritize trial-ready all-oral drug combinations, we will focus our efforts on the bactericidal 2- and 3-drug backbones and combine these with bacteriostatic and bactericidal oral drugs used for the treatment of M. abscessus. Combinations that preserve bactericidal and sterilizing activity of the backbones will be prioritized for testing in both mouse models. Our unique niche consists in a pragmatic approach focused on compound sets active against TB, novel ligand/target pairs and late clinical development candidates or approved antibiotics, maximizing both short and long-ter... ## Key facts - **NIH application ID:** 10799020 - **Project number:** 2R01AI132374-07A1 - **Recipient organization:** HACKENSACK UNIVERSITY MEDICAL CENTER - **Principal Investigator:** Thomas Dick - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2024 - **Award amount:** $892,054 - **Award type:** 2 - **Project period:** 2018-02-01 → 2029-04-30 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10799020 ## Citation > US National Institutes of Health, RePORTER application 10799020, Discovery of novel lead-target pairs and identification of all-oral bactericidal drug regimens for Mycobacterium abscessus lung disease (2R01AI132374-07A1). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/10799020. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*