Bactericidal antibiotics targeting lipoprotein transport in Gram-negative bacteria
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 1R01AI187556-01
Grant search
Key facts
Disease
Bacterial infection caused by Klebsiella pneumonia, OtherStart & end year
20242029Known Financial Commitments (USD)
$749,417Funder
National Institutes of Health (NIH)Principal Investigator
Andrew KruseResearch Location
United States of AmericaLead Research Institution
HARVARD UNIVERSITYResearch Priority Alignment
N/A
Research Category
Therapeutics research, development and implementation
Research Subcategory
Pre-clinical studies
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Project Summary/Abstract: Our research is focused on the synthesis and biological study of antibiotics to address the growing problem of modern multi-drug resistant (MDR) pathogens of critical threat. By introducing three key structural variations within the scaffold of an established inhibitor of the localization of lipoproteins (lol) pathway, we have synthesized novel antibiotics with superior potencies against MDR Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae). Crucially, these more potent antibiotics induce a much lower frequency of spontaneous resistance in E. coli (FoR ~10-9) than the previously reported inhibitor (FoR ~10-7). We propose to diversify and improve the modular platform we have developed to synthesize large numbers of candidate antibiotics with improved potencies and optimized pharmacokinetic and pharmacodynamic profiles, which will be evaluated with in vitro and, where appropriate, in vivo studies. Furthermore, we aim to deepen the understanding of the mechanism of action of our molecules by cryo-EM imaging of the molecules bound to their target, the lolCD2E lipoprotein transport machinery. This will also inform structure-based design of future antibiotics candidates.