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Metamorphic, or fold-switching, proteins feature different folds that are physiologically relevant. The human chemokine XCL1 (or Lymphotactin) is a metamorphic protein that features two native states, an [Formula: see text] and an all[Formula: see text] fold, which have similar stability at physiological condition. Here, extended molecular dynamics (MD) simulations, principal component analysis of atomic fluctuations and thermodynamic modeling based on both the configurational volume and free energy landscape, are used to obtain a detailed characterization of the conformational thermodynamics of human Lymphotactin and of one of its ancestors (as was previously obtained by genetic reconstruction). Comparison of our computational results with the available experimental data show that the MD-based thermodynamics can explain the experimentally observed variation of the conformational equilibrium between the two proteins. In particular, our computational data provide an interpretation of the thermodynamic evolution in this protein, revealing the relevance of the configurational entropy and of the shape of the free energy landscape within the essential space (i.e., the space defined by the generalized internal coordinates providing the largest, typically non-Gaussian, structural fluctuations).
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http://dx.doi.org/10.1007/s10930-023-10123-7 | DOI Listing |
Dalton Trans
September 2025
Sun Yat-Sen University, MOE Laboratory of Polymeric Composite and Functional Materials, School of Materials Science and Engineering, Guangzhou 510275, China.
The main bottleneck faced by traditional hydrogen production technology through water electrolysis lies in the high energy consumption of the anodic oxygen evolution reaction (OER). Combining the thermodynamically favorable ethanol oxidation reaction (EOR) with the hydrogen evolution reaction provides a promising route to reduce the energy consumption of hydrogen production and generate high value-added products. In this study, a facile method was developed for nickel oxyhydroxide (NiOOH) fabrication.
View Article and Find Full Text PDFACS Synth Biol
September 2025
Department of Chemical Engineering, Columbia University, New York, New York 10027, United States.
Synthetic biology often employs heterologous enzymatic reactions to reprogram cell metabolism or otherwise introduce novel functions. However, precise control of a particular metabolic pathway can be difficult to achieve because cofactors are shared with endogenous enzymes from a common pool. Recently, the use of noncanonical cofactors (NCCs) has emerged as a promising approach to bypass this problem by isolating desired reactions without the need for a physical barrier.
View Article and Find Full Text PDFFood Res Int
November 2025
Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences (CAAS) / Key Laboratory of Agro-Products Processing, Ministry of Agriculture and Rural Affairs, Beijing 100193, PR China; College of Food Science, Shenyang Agricultural University, Shenyang 110866, China. Electronic a
While restructuring agricultural products enhances heat and mass transfer during freeze-drying, the underlying mechanisms remain poorly understood. This study employed a multiscale approach, combining freezing dynamics, sublimation drying kinetics, X-ray tomography, gas permeability assessments, thermodynamic parameters analysis, and mathematical modeling to systematically investigate the differences in transfer properties between natural and restructured peaches across the freezing and sublimation drying processes. Key results demonstrated that restructuring decreased the freezing time by 21.
View Article and Find Full Text PDFInorg Chem
September 2025
Department of Chemistry and Chemical Engineering, Heze University, Heze, Shandong 274015, China.
Transition metal (TM)-doped silicon clusters represent critical model systems for understanding nanoscale hybridization and stability mechanisms. This study provides a comprehensive analysis of structural evolution, electronic properties, and thermodynamic stability in ruthenium-doped silicon clusters (RuSi̅, = 7-11) through integrated experimental and computational approaches. Anion photoelectron spectroscopy combined with density functional theory (DFT/B3LYP), coupled-cluster theory [CCSD(T)], and bonding analyses (AdNDP, NICS, ACID) reveals charge-state-dependent structural transitions, with full Ru encapsulation emerging at = 10 for anions and = 11 for neutrals.
View Article and Find Full Text PDFBrief Bioinform
September 2025
Beijing Institute of Mathematical Sciences and Applications (BIMSA), Beijing 101408, P. R. China.
With the rapid development of genomic sequencing technologies, there is an increasing demand for efficient and accurate sequence analysis methods. However, existing methods face challenges in handling long, variable-length sequences and large-scale datasets. To address these issues, we propose a novel encoding method-Energy Entropy Vector (EEV).
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