In silico Analysis and Molecular Modeling of RNA Polymerase, Sigma S (RpoS) Protein in Pseudomonas aeruginosa PAO۱

  • سال انتشار: 1394
  • محل انتشار: مجله گزارش های بیوشیمی و زیست شناسی مولکولی، دوره: 4، شماره: 1
  • کد COI اختصاصی: JR_RBMB-4-1_005
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 356
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نویسندگان

Mansour Sedighi

Department of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran

Mohsen Moghoofei

Department of Virology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran

Ebrahim Kouhsari

Department of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran

Abazar Pournajaf

Department of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran

Behzad Emadi

Department of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran

Masoud Tohidfar

Agricultural Biotechnology Research Institute of Iran, Tehran, Iran

Mehrdad x Gholami

Department of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran

چکیده

Background: Sigma factors are proteins that regulate transcription in bacteria. Sigma factors can be activated in response to different environmental conditions. The rpoS (RNA polymerase, sigma S) gene encodes sigma-۳۸ (σ۳۸, or RpoS), a ۳۷.۸ kDa protein in Pseudomonas aeruginosa (P. aeruginosa) strains. RpoS is a central regulator of the general stress response and operates in both retroactive and proactive manners; not only does it allow the cell to survive environmental challenges; it also prepares the cell for subsequent stresses (cross-protection). Methods: The significance of RpoS for stress resistance and protein expression in stationary-phase P. aeruginosa cells was assessed. The goal of the current study was to characterize RpoS of P. aeruginosa PAO۱ using bioinformatics tools. Results: The results showed that RpoS is an unstable protein that belongs to the sigma-۷۰ factor family. Secondary structure analysis predicted that random coil is the predominant structure followed by extended alpha helix. The three-dimensional (۳D) structure was modeled using SWISS-MODEL Workspace. Conclusion: Determination of sequence, function, structure, and predicted epitopes of RpoS is important for modeling of inhibitors that will help in the design of new drugs to combat multi-drug-resistant (MDR) strains. Such information may aid in the development of new diagnostic tools, drugs, and vaccines for treatment in endemic regions.

کلیدواژه ها

Bioinformatics, In silico, Pseudomonas aeruginosa, RpoS, Therapy

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