2 research outputs found

    SAR and Structural Analysis of Siderophore-Conjugated Monocarbam Inhibitors of <i>Pseudomonas aeruginosa</i> PBP3

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    A main challenge in the development of new agents for the treatment of <i>Pseudomonas aeruginosa</i> infections is the identification of chemotypes that efficiently penetrate the cell envelope and are not susceptible to established resistance mechanisms. Siderophore-conjugated monocarbams are attractive because of their ability to hijack the bacteria’s iron uptake machinery for transport into the periplasm and their inherent stability to metallo-β-lactamases. Through development of the SAR we identified a number of modifications to the scaffold that afforded active anti-<i>P. aeruginosa</i> agents with good physicochemical properties. Through crystallographic efforts we gained a better understanding into how these compounds bind to the target penicillin binding protein PBP3 and factors to consider for future design

    Discovery of Efficacious Pseudomonas aeruginosa-Targeted Siderophore-Conjugated Monocarbams by Application of a Semi-mechanistic Pharmacokinetic/Pharmacodynamic Model

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    To identify new agents for the treatment of multi-drug-resistant Pseudomonas aeruginosa, we focused on siderophore-conjugated monocarbams. This class of monocyclic β-lactams are stable to metallo-β-lactamases and have excellent P. aeruginosa activities due to their ability to exploit the iron uptake machinery of Gram-negative bacteria. Our medicinal chemistry plan focused on identifying a molecule with optimal potency and physical properties and activity for in vivo efficacy. Modifications to the monocarbam linker, siderophore, and oxime portion of the molecules were examined. Through these efforts, a series of pyrrolidinone-based monocarbams with good P. aeruginosa cellular activity (P. aeruginosa MIC<sub>90</sub> = 2 μg/mL), free fraction levels (>20% free), and hydrolytic stability (<i>t</i><sub>1/2</sub> ≥ 100 h) were identified. To differentiate the lead compounds and enable prioritization for in vivo studies, we applied a semi-mechanistic pharmacokinetic/pharmacodynamic model to enable prediction of in vivo efficacy from in vitro data
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