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A selectivity filter is a gate in ion channels that is responsible for the selection and fast conduction of particular ions across the membrane (with high throughput rates of 10 ions s and a high 1:10 discrimination rate between ions). It is made of four strands as the backbone, and each strand is composed of sequences of five amino acids connected by peptide units H-N-C=O in which the main molecules in the backbone that interact with ions in the filter are carbonyl (C=O) groups that mimic the transient interactions of ion with binding sites during ion conduction. It has been suggested that quantum coherence and possible emergence of resonances in the backbone carbonyl groups may play a role in mediating ion conduction and selectivity in the filter. Here, we investigate the influence of noise and disorder on the efficiency of excitation energy transfer (EET) in a linear harmonic chain of N = 5 sites with dipole-dipole couplings as a simple model for one P-loop strand of the selectivity filter backbone in biological ion channels. We include noise and disorder inherent in real biological systems by including spatial disorder in the chain, and random noise within a weak coupling quantum master equation approach. Our results show that disorder in the backbone considerably reduces EET, but the addition of noise helps to recover high EET for a wide range of system parameters. Our analysis may help for better understanding of the coordination of ions in the filter as well as the fast and efficient functioning of the selectivity filters in ion channels.
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http://dx.doi.org/10.1088/1361-648X/aadeab | DOI Listing |
Workplace Health Saf
September 2025
Care Delivery Research, Allina Health.
Background: Effective communication and collaboration among clinical and nonclinical staff are critical to the health and safety of the staff, for optimal team performance and for safe patient care. While respiratory protective equipment are routine key strategies to protect healthcare workers from exposure to select respiratory pathogens, they have been demonstrated to disrupt speech intelligibility. The COVID-19 pandemic escalated the need for and utilization of respiratory protection in all healthcare settings.
View Article and Find Full Text PDFJ Anim Sci
September 2025
U.S. Meat Animal Research Center, USDA, ARS, Clay Center, NE 68933, USA.
Liver abscesses are a concern in feedlot cattle, and little is known about the role of genetics in their development. This study aimed to estimate genetic parameters and to identify single nucleotide polymorphisms (SNP) associated with liver abscesses. Crossbred cattle representing 18 breeds in the United States Meat Animal Research Center Germplasm Evaluation Program were phenotyped for liver abscesses at slaughter (n = 9,044).
View Article and Find Full Text PDFMol Nutr Food Res
September 2025
The Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, China Three Gorges University, Yichang, China.
This study investigates the relationship between dietary antioxidants and heart failure (HF) risk using nationally representative National Health and Nutrition Examination Survey data (2005-2018). It aims to identify key dietary antioxidants and develop a machine-learning-based predictive model for HF. Among 9279 participants (434 HF cases), 44 dietary antioxidant variables were extracted from two 24-h dietary recalls.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
School of Mathematics, Northwest University, Xi'an, China.
This study sought to enhance visual acuity assessment using steady-state visual evoked potentials (SSVEPs) through subject-specific training methods. SSVEPs were elicited from eleven subjects using the vertical sinusoidal gratings at six various spatial frequency steps, and then the classical approach of Oz single-channel, the spatial filtering method of canonical correlation analysis (CCA), and five subject-specific training methods, i.e.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Wulumuqi, Xinjiang Uygur Autonomous Region, The People's Republic of China.
The Xinjiang Uygur Autonomous Region of China is characterized by unique genetic and environmental factors, influenced by its geography, culture, and interethnic interactions. Understanding lipid metabolism in this population may help identify novel genetic regulators relevant to cardiovascular risk. An extreme phenotype sequencing strategy was applied to Han Chinese university students from Xinjiang.
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