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Title: | A PIPELINE FOR CHARACTERIZING NOVEL MECHANISMS OF ACTION IDENTIFIES A DUAL-TARGETING ANTIBIOTIC |
Authors: | Martin II, James Keith |
Advisors: | Gitai, Zemer |
Contributors: | Molecular Biology Department |
Keywords: | Antibiotic Resistance Antibiotics Anti-cancer Bacterial Pathogens Broad Spectrum Dual Mechanism of action |
Subjects: | Biology |
Issue Date: | 2019 |
Publisher: | Princeton, NJ : Princeton University |
Abstract: | The rise of antibiotic resistance and declining discovery of new antibiotics have created a global health crisis. Of particular concern, no new antibiotic classes have been approved for treating Gram-negative pathogens in decades. Here, we characterize a compound, SCH-79797, that kills both Gram-negative and Gram-positive bacteria through a unique dual-targeting mechanism of action (MoA) with undetectably low resistance frequencies. In an animal host model, SCH-79797 reduces pathogenesis of Acinetobacter baumannii, a drug-resistant Gram-negative pathogen. To characterize the MoA of SCH-79797 we combined quantitative imaging, proteomic, genetic, metabolomic, and cell-based assays. This pipeline shows that SCH-79797 has two independent cellular targets, folate metabolism and bacterial membrane integrity, and outperforms combination treatments with other antifolates and membrane disruptors in killing MRSA persisters. Thus, SCH-79797 represents a promising lead antibiotic and suggests that combining multiple MoAs onto a single chemical scaffold may be an underappreciated approach to target challenging bacterial pathogens. |
URI: | http://arks.princeton.edu/ark:/88435/dsp01h702q929q |
Alternate format: | The Mudd Manuscript Library retains one bound copy of each dissertation. Search for these copies in the library's main catalog: catalog.princeton.edu |
Type of Material: | Academic dissertations (Ph.D.) |
Language: | en |
Appears in Collections: | Molecular Biology |
Files in This Item:
File | Description | Size | Format | |
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MartinII_princeton_0181D_13134.pdf | 1.92 MB | Adobe PDF | View/Download |
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