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A prediction model for electrical strength of gaseous medium based on molecular reactivity descriptors and machine learning method.
J Mol Model
January 2025
Hubei Key Laboratory·for High-Efficiency-Utilization of Solar Energy and Operation, Control of Energy-Storage System, Hubei-University of Technology, Wuhan, 430068, China.
Context: Ionization and adsorption in gas discharge are similar to electrophilic and nucleophilic reactions. The molecular descriptors characterizing reactions such as electrostatic potential descriptors are useful in predicting the electrical strength of environmentally friendly gases. In this study, descriptors of 73 molecules are employed for correlation analysis with electrical strength.
View Article and Find Full Text PDFCombination of Fe-O Species and Fe-O-Zr Bonds Empowers FeO Nanoclusters Anchored on UiO-66 Robust HS-Selective Catalytic Oxidation Performance.
Inorg Chem
January 2025
State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology, Taiyuan 030024, China.
The low sulfur selectivity of Fe-based HS-selective catalytic oxidation catalysts is still a problem, especially at a high O content. This is alleviated here through anchoring FeO nanoclusters on UiO-66 via the formation of Fe-O-Zr bonds. The introduced FeO species exist in the form of Fe and Fe.
View Article and Find Full Text PDFBoosting C-O Bond Cleavage and Reverse Water-Gas Shift Activity via Enriched in-plane Sulfur Vacancies in Single-Layer Molybdenum Disulfide.
Angew Chem Int Ed Engl
January 2025
Chinese Academy of Sciences Dalian Institute of Chemical Physics, State Key Laboratory of Catalysis, 457 Zhongshan Road, 116023, Dalian, CHINA.
The reduction of CO2 to CO provides a promising approach to the production of valuable chemicals through CO2 utilization. However, challenges persist with the rapid deactivation and insufficient activity of catalysts. Herein, we developed a soft-hard dual-template method to synthesize layered MoS2 using inexpensive and scalable templates, enabling facile regulation of sulfur vacancies by controlling the number of layers.
View Article and Find Full Text PDFThe sulfur-related metabolic status of during infection reveals cytosolic serine hydroxymethyltransferase as a promising antifungal target.
Virulence
December 2025
Manchester Fungal Infection Group (MFIG), Division of Evolution, Infection, and Genomics, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Sulfur metabolism is an essential aspect of fungal physiology and pathogenicity. Fungal sulfur metabolism comprises anabolic and catabolic routes that are not well conserved in mammals, therefore is considered a promising source of prospective novel antifungal targets. To gain insight into sulfur-related metabolism during infection, we used a NanoString custom nCounter-TagSet and compared the expression of 68 key metabolic genes in different murine models of invasive pulmonary aspergillosis, at 3 time-points, and under a variety of conditions.
View Article and Find Full Text PDFDiphthamide synthesis is linked to the eEF2-client chaperone machinery.
FEBS Lett
January 2025
Roche Pharma Research and Early Development (pRED), Large Molecule Research, Roche Innovation Center Munich, Penzberg, Germany.
The diphthamide modification of eukaryotic translation elongation factor (eEF2) is important for accurate protein synthesis. While the enzymes for diphthamide synthesis are known, coordination of eEF2 synthesis with the diphthamide modification to maintain only modified eEF2 is unknown. Physical and genetic interactions extracted from BioGRID show a connection between diphthamide synthesis enzymes and chaperones in yeast.
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