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Keywords = RNAP holoenzyme assembly

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15 pages, 4489 KB  
Article
Structural Insight into the Mechanism of σ32-Mediated Transcription Initiation of Bacterial RNA Polymerase
by Qiang Lu, Taiyu Chen, Jiening Wang, Feng Wang, Wenlong Ye, Lixin Ma and Shan Wu
Biomolecules 2023, 13(5), 738; https://doi.org/10.3390/biom13050738 - 25 Apr 2023
Cited by 7 | Viewed by 3882
Abstract
Bacterial RNA polymerases (RNAP) form distinct holoenzymes with different σ factors to initiate diverse gene expression programs. In this study, we report a cryo-EM structure at 2.49 Å of RNA polymerase transcription complex containing a temperature-sensitive bacterial σ factor, σ3232 [...] Read more.
Bacterial RNA polymerases (RNAP) form distinct holoenzymes with different σ factors to initiate diverse gene expression programs. In this study, we report a cryo-EM structure at 2.49 Å of RNA polymerase transcription complex containing a temperature-sensitive bacterial σ factor, σ3232-RPo). The structure of σ32-RPo reveals key interactions essential for the assembly of E. coli σ32-RNAP holoenzyme and for promoter recognition and unwinding by σ32. Specifically, a weak interaction between σ32 and −35/−10 spacer is mediated by T128 and K130 in σ32. A histidine in σ32, rather than a tryptophan in σ70, acts as a wedge to separate the base pair at the upstream junction of the transcription bubble, highlighting the differential promoter-melting capability of different residue combinations. Structure superimposition revealed relatively different orientations between βFTH and σ4 from other σ-engaged RNAPs and biochemical data suggest that a biased σ4–βFTH configuration may be adopted to modulate binding affinity to promoter so as to orchestrate the recognition and regulation of different promoters. Collectively, these unique structural features advance our understanding of the mechanism of transcription initiation mediated by different σ factors. Full article
(This article belongs to the Collection Feature Papers in Molecular Structure and Dynamics)
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15 pages, 2146 KB  
Article
An Optimized Workflow for the Discovery of New Antimicrobial Compounds Targeting Bacterial RNA Polymerase Complex Formation
by Alessia Caputo, Sara Sartini, Elisabetta Levati, Ilaria Minato, Gian Marco Elisi, Adriana Di Stasi, Catherine Guillou, Peter G. Goekjian, Pierre Garcia, David Gueyrard, Stéphane Bach, Arnaud Comte, Simone Ottonello, Silvia Rivara and Barbara Montanini
Antibiotics 2022, 11(10), 1449; https://doi.org/10.3390/antibiotics11101449 - 21 Oct 2022
Cited by 7 | Viewed by 4573
Abstract
Bacterial resistance represents a major health problem worldwide and there is an urgent need to develop first-in-class compounds directed against new therapeutic targets. We previously developed a drug-discovery platform to identify new antimicrobials able to disrupt the protein–protein interaction between the β’ subunit [...] Read more.
Bacterial resistance represents a major health problem worldwide and there is an urgent need to develop first-in-class compounds directed against new therapeutic targets. We previously developed a drug-discovery platform to identify new antimicrobials able to disrupt the protein–protein interaction between the β’ subunit and the σ70 initiation factor of bacterial RNA polymerase, which is essential for transcription. As a follow-up to such work, we have improved the discovery strategy to make it less time-consuming and more cost-effective. This involves three sequential assays, easily scalable to a high-throughput format, and a subsequent in-depth characterization only limited to hits that passed the three tests. This optimized workflow, applied to the screening of 5360 small molecules from three synthetic and natural compound libraries, led to the identification of six compounds interfering with the β’–σ70 interaction, and thus was capable of inhibiting promoter-specific RNA transcription and bacterial growth. Upon supplementation with a permeability adjuvant, the two most potent transcription-inhibiting compounds displayed a strong antibacterial activity against Escherichia coli with minimum inhibitory concentration (MIC) values among the lowest (0.87–1.56 μM) thus far reported for β’–σ PPI inhibitors. The newly identified hit compounds share structural feature similarities with those of a pharmacophore model previously developed from known inhibitors. Full article
(This article belongs to the Special Issue New Antibiotic Compounds: Discovery and Strategies)
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