Exposed regions of the alpha- and beta-subunits of membrane-bound Na+,K+-ATPase were in turn hydrolyzed with trypsin. Resistance of the beta-subunit to proteolysis was shown to be due mainly to the presence of disulfide bridge(s) in the molecule. A model for the spatial organisation of the enzyme in the membrane was proposed on the basis of detailed structural analysis of extramembrane regions of both subunits.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/0014-5793(87)80676-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Relaxometry and contrast-free cerebral microvascular quantification using balanced steady-state free precession MR fingerprinting.
Magn Reson Med
January 2025
Université Grenoble Alpes, INSERM, U1216, Grenoble Institute Neurosciences, GIN, Grenoble, France.
Purpose: This study proposes a novel, contrast-free Magnetic Resonance Fingerprinting (MRF) method using balanced Steady-State Free Precession (bSSFP) sequences for the quantification of cerebral blood volume (CBV), vessel radius (R), and relaxometry parameters (T , T , T *) in the brain.
Methods: The technique leverages the sensitivity of bSSFP sequences to intra-voxel frequency distributions in both transient and steady-state regimes. A dictionary-matching process is employed, using simulations of realistic mouse microvascular networks to generate the MRF dictionary.
Mental health literacy of reproductive age women: a qualitative study.
BMC Public Health
January 2025
Population Health Research Group, Health Metrics Research Center, Iranian Institute for Health Sciences Research, ACECR, Tehran, Iran.
Background: Women's reproductive years are a time of increased vulnerability to mental health problems. However, only a small proportion of women seek help, and seems that poor mental health literacy is a major obstacle in this regard. This study aimed to elucidate the concept and provide a better understanding of the main dimensions of mental health literacy in women of reproductive age.
View Article and Find Full Text PDFMetabolic pathways of eicosanoids-derivatives of arachidonic acid and their significance in skin.
Cell Mol Biol Lett
January 2025
Department of Analytical Chemistry, Medical University of Bialystok, Kilinskiego 1, 15-069, Bialystok, Poland.
The skin is a barrier that protects the human body against environmental factors (physical, including solar radiation, chemicals, and pathogens). The integrity and, consequently, the effective metabolic activity of skin cells is ensured by the cell membrane, the important structural and metabolic elements of which are phospholipids. Phospholipids are subject to continuous transformation, including enzymatic hydrolysis (with the participation of phospholipases A, C, and D) to free polyunsaturated fatty acids (PUFAs), which under the influence of cyclooxygenases (COX1/2), lipoxygenases (LOXs), and cytochrome P450 (CYPs P450) are metabolized to various classes of oxylipins, depending on the type of PUFA being metabolized and the enzyme acting.
View Article and Find Full Text PDFRemote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer.
Sci Rep
January 2025
School of Electronics and Information, Xijing University, Xi'an, 710123, China.
To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing image super-resolution reconstruction model. The generator network of the model employs multi-scale convolutional kernels to extract image features and utilizes a multi-head self-attention mechanism to dynamically fuse these features, significantly improving the ability to capture both fine details and global information in remote sensing images. Additionally, the model introduces a multi-stage Hybrid Transformer structure, which processes features at different resolutions progressively, from low resolution to high resolution, substantially enhancing reconstruction quality and detail recovery.
View Article and Find Full Text PDFAlphaFold and what is next: bridging functional, systems and structural biology.
Expert Rev Proteomics
January 2025
Biological and Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Saudi Arabia.
Introduction: The DeepMind's AlphaFold (AF) has revolutionized biomedical research by providing both experts and non-experts with an invaluable tool for predicting protein structures. However, while AF is highly effective for predicting structures of rigid and globular proteins, it is not able to fully capture the dynamics, conformational variability, and interactions of proteins with ligands and other biomacromolecules.
Areas Covered: In this review, we present a comprehensive overview of the latest advancements in 3D model predictions for biomacromolecules using AF.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!