The sensor histidine kinases of two-component signal-transduction systems (TCSs) are essential for bacteria to adapt to variable environmental conditions. The two-component regulatory system BaeS/R increases multidrug and metal resistance in Salmonella and Escherichia coli. In this study, we report the X-ray structure of the periplasmic sensor domain of BaeS from Serratia marcescens FS14. The BaeS sensor domain (34-160) adopts a mixed α/β-fold containing a central four-stranded antiparallel β-sheet flanked by a long N-terminal α-helix and additional loops and a short C-terminal α-helix on each side. Structural comparisons revealed that it belongs to the PDC family with a remarkable difference in the orientation of the helix α2. In the BaeS sensor domain, this helix is situated perpendicular to the long helix α1 and holds helix α1 in the middle with the beta sheet, whereas in other PDC domains, helix α2 is parallel to helix α1. Because the helices α1 and α2 is involved in the dimeric interface, this difference implies that BaeS uses a different dimeric interface compared with other PDC domains. Proteins 2017; 85:1784-1790. © 2017 Wiley Periodicals, Inc.
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Alzheimers Dement
December 2024
University of Minnesota School of Medicine, Minneapolis, MN, USA.
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January 2025
Department of Biochemistry, Division of Biological Sciences, Indian Institute of Science, Bengaluru, Karnataka, India.
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January 2025
Department of Computer Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder that results in a gradual reduction in motor function. Early detection and monitoring of the disease progression is highly challenging due to the gradual progression of symptoms and the inadequacy of conventional methods in identifying subtle changes in mobility.
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January 2025
Department of Chemical Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.
In this paper, we propose and theoretically investigate a novel multimode refractive index (MMRI) plasmonic optical sensor for detecting various brain cancer cells, leveraging the unique capabilities of split ring resonators (SRRs). The sensor, simulated using the finite-difference time-domain (FDTD) method, exhibits dual resonance modes in its reflection spectrum within the 1500 nm to 3500 nm wavelength range, marking a significant advancement in multimode plasmonic biosensing. Through detailed parametric analysis, we optimize critical dimensional parameters to achieve superior performance.
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January 2025
Department of Electrical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia.
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