1. Academic Validation
  2. A platform for predicting mechanism of action based on bacterial transcriptional responses identifies an unusual DNA gyrase inhibitor

A platform for predicting mechanism of action based on bacterial transcriptional responses identifies an unusual DNA gyrase inhibitor

  • Cell Rep. 2024 Apr 23;43(4):114053. doi: 10.1016/j.celrep.2024.114053.
Shawn French 1 Amelia Bing Ya Guo 1 Michael J Ellis 1 Julia P Deisinger 1 Jarrod W Johnson 1 Kenneth Rachwalski 1 Zoë A Piquette 1 Telmah Lluka 1 Miranda Zary 1 Sineli Gamage 1 Jakob Magolan 1 Eric D Brown 2
Affiliations

Affiliations

  • 1 McMaster University, Department of Biochemistry and Biomedical Sciences and Michael G. DeGroote Institute for Infectious Disease Research, Hamilton, ON L8S 4L8, Canada.
  • 2 McMaster University, Department of Biochemistry and Biomedical Sciences and Michael G. DeGroote Institute for Infectious Disease Research, Hamilton, ON L8S 4L8, Canada. Electronic address: ebrown@mcmaster.ca.
Abstract

In the search for much-needed new Antibacterial chemical matter, a myriad of compounds have been reported in academic and pharmaceutical screening endeavors. Only a small fraction of these, however, are characterized with respect to mechanism of action (MOA). Here, we describe a pipeline that categorizes transcriptional responses to Antibiotics and provides hypotheses for MOA. 3D-printed imaging hardware PFIboxes) profiles responses of Escherichia coli promoter-GFP fusions to more than 100 Antibiotics. Notably, metergoline, a semi-synthetic ergot alkaloid, mimics a DNA replication inhibitor. In vitro supercoiling assays confirm this prediction, and a potent analog thereof (MLEB-1934) inhibits growth at 0.25 μg/mL and is highly active against quinolone-resistant strains of methicillin-resistant Staphylococcus aureus. Spontaneous suppressor mutants map to a seldom explored allosteric binding pocket, suggesting a mechanism distinct from DNA gyrase inhibitors used in the clinic. In all, the work highlights the potential of this platform to rapidly assess MOA of new Antibacterial compounds.

Keywords

CP: Microbiology; antibiotics; gene expression; mechanism of action; systems biology.

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