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