Bacterial resistance represents a major health threat worldwide, and the development of new therapeutics, including innovative antibiotics, is urgently needed. We describe a discovery platform, centered on in silico screening and in vivo bioluminescence resonance energy transfer in yeast cells, for the identification of new antimicrobials that, by targeting the protein-protein interaction between the β′-subunit and the initiation factor σ70 of bacterial RNA polymerase, inhibit holoenzyme assembly and promoter-specific transcription. Out of 34 000 candidate compounds, we identified seven hits capable of interfering with this interaction. Two derivatives of one of these hits proved to be effective in inhibiting transcription in vitro and growth of the Gram-positive pathogens Staphylococcus aureus and Listeria monocytogenes. Upon supplementation of a permeability adjuvant, one derivative also effectively inhibited Escherichia coli growth. On the basis of the chemical structures of these inhibitors, we generated a ligand-based pharmacophore model that will guide the rational discovery of increasingly effective antibacterial agents.

New Antimicrobials Targeting Bacterial RNA Polymerase Holoenzyme Assembly Identified with an in Vivo BRET-Based Discovery Platform

Benincasa M.
Membro del Collaboration Group
;
Scocchi M.
Membro del Collaboration Group
;
2019-01-01

Abstract

Bacterial resistance represents a major health threat worldwide, and the development of new therapeutics, including innovative antibiotics, is urgently needed. We describe a discovery platform, centered on in silico screening and in vivo bioluminescence resonance energy transfer in yeast cells, for the identification of new antimicrobials that, by targeting the protein-protein interaction between the β′-subunit and the initiation factor σ70 of bacterial RNA polymerase, inhibit holoenzyme assembly and promoter-specific transcription. Out of 34 000 candidate compounds, we identified seven hits capable of interfering with this interaction. Two derivatives of one of these hits proved to be effective in inhibiting transcription in vitro and growth of the Gram-positive pathogens Staphylococcus aureus and Listeria monocytogenes. Upon supplementation of a permeability adjuvant, one derivative also effectively inhibited Escherichia coli growth. On the basis of the chemical structures of these inhibitors, we generated a ligand-based pharmacophore model that will guide the rational discovery of increasingly effective antibacterial agents.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2962019
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