Rapana venosa hemocyanin (RvH), a circulating glycoprotein of the marine snail, has a complex structure. To provide details on the stability of the protein, one functional unit, RvH2-e, was compared with the native molecule and the structural subunits, RvH1 and RvH2, via pH-T diagrams, typical phase portraits for stability and denaturation reversibility. By analyzing the T transition curves of RvH2-e at different pH values, several parameters of the thermodynamic functions were obtained. Increasing the temperature from 25°C to 55°C, the reversibility of the molecule of protein also increases, opening a reversibility window within the range of pH 4.0-8.0. On analyzing the pH transition curves, the start of the acid denaturation (below pH 6) and alkaline denaturation (above pH 9) was determined to be between 20°C and 35°C. For this range, the thermodynamic functions ΔH° and ΔG° for a standard temperature of 25°C were calculated.
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http://dx.doi.org/10.1016/j.bbapap.2010.08.009 | DOI Listing |
Am J Ophthalmol Case Rep
March 2025
Department of Ophthalmology, Local Health Unit São João, Porto, Portugal.
Food Sci Nutr
January 2025
Dairy and Functional Foods Research Unit, Eastern Regional Research Center, Agricultural Research Service U.S. Department of Agriculture Wyndmoor Pennsylvania USA.
Recovery of the butterfat in waste ice cream may be an opportunity to mitigate food and economic loss. Previous efforts to recover such fat have succeeded in producing a fat-enriched fraction but have not succeeded in demulsifying the fat. In the present study, a method involving a sequence of emulsion-breaking steps is shown to be effective for releasing a majority of the fat from waste ice cream as free, unemulsified oil.
View Article and Find Full Text PDFJACC Asia
December 2024
Pediatric Cardiology and Adult CHD Unit, Fondazione G. Monasterio, CNR-Regione Toscana, Italy.
Nat Ment Health
January 2025
Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland.
Atypical face processing is commonly reported in autism. Its neural correlates have been explored extensively across single neuroimaging modalities within key regions of the face processing network, such as the fusiform gyrus (FFG). Nonetheless, it is poorly understood how variation in brain anatomy and function jointly impacts face processing and social functioning.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Software Engineering Department, LUT University, Lahti, Finland.
Introduction: Neurodegenerative diseases, including Parkinson's, Alzheimer's, and epilepsy, pose significant diagnostic and treatment challenges due to their complexity and the gradual degeneration of central nervous system structures. This study introduces a deep learning framework designed to automate neuro-diagnostics, addressing the limitations of current manual interpretation methods, which are often time-consuming and prone to variability.
Methods: We propose a specialized deep convolutional neural network (DCNN) framework aimed at detecting and classifying neurological anomalies in MRI data.
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