Three-dimensional structures have been determined for 13 different enzymes that use thiamine diphosphate (ThDP) as a cofactor. These enzymes fall into five families, where members within a family have similar structures. In different families, there are similarities between some domains that clearly point to a common ancestor for all of these enzymes. Where the enzyme structures differ, evolutionary relationships between families can be discerned. Here, I present an analysis of these families and propose an evolutionary pathway to explain the diversity of structures that are now known.
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http://dx.doi.org/10.1021/ar068022z | DOI Listing |
J Psycholinguist Res
January 2025
Department of Chinese Language Studies, Centre for Research on Chinese Language and Education, The Education University of Hong Kong, Tai Po, N.T, Hong Kong.
Word recognition is a fundamental reading skill that relies on various linguistic and cognitive abilities. While executive functions (EF) have gained attention for their importance in developing literacy skills, their interaction with domain-specific skills in facilitating reading among different learner groups remains understudied. This study examines the relationship between EF, orthographic awareness, morphological awareness, and Chinese word recognition in 204 Chinese as a second language (CSL) students and 419 native Chinese primary students.
View Article and Find Full Text PDFEur Radiol
January 2025
Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China.
Objectives: To evaluate the image quality and lung nodule detectability of ultralow-dose CT (ULDCT) with adaptive statistical iterative reconstruction-V (ASiR-V) post-processed using a deep learning image reconstruction (DLIR)-based image domain compared to low-dose CT (LDCT) and ULDCT without DLIR.
Materials And Methods: A total of 210 patients undergoing lung cancer screening underwent LDCT (mean ± SD, 0.81 ± 0.
Nanomaterials (Basel)
December 2024
Leibniz-Institut für Polymerforschung Dresden e.V., Hohe Str. 6, 01069 Dresden, Germany.
Understanding the interplay between the molecular structure of the ionic liquid (IL) subunit, the resulting nanostructure and ion transport in polymerized ionic liquids (PILs) is necessary for the realization of high-performance solid-state electrolytes required in various advanced applications. Herein, we present a detailed structural characterization of a recently synthesized series of acrylate-based PIL homopolymers and networks with imidazolium cations and chloride anions with varying alkyl spacer and terminal group lengths designed for organic solid-state batteries based on X-ray scattering. The impact of the concentrations of both the crosslinker and added tetrabutylammonium chloride (TBACl) conducting salt on the structural characteristics is also investigated.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
School of Physics and Information Technology, Shaanxi Normal University, Xi'an 710062, China.
During the preparation of single-domain (S-D) REBaCuO (RE-123) superconducting bulks, the seed crystals can serve as templates for crystal growth, guiding the newly formed crystals to grow in a specific direction, thereby ensuring the consistency of the crystal orientation within the sample. However, the infiltration temperature is typically restricted to approximately 1050 °C when employing NdBaCuO (Nd-123) crystal seeds in the traditional top-seeded infiltration growth (TSIG) technique for producing single-domain Y-123 bulk superconductors. In the present study, to overcome the temperature limitations of the heat treatment process, the optimized YO +011 IG (011 refers to BaCuO powder) method was employed to fabricate a group of single-domain Y-123 bulks with a high-temperature infiltration (1000-1300 °C).
View Article and Find Full Text PDFCells
December 2024
Department of Herbal Pharmacology, College of Korean Medicine, Gachon University, 1342 Seongnamdae-ro, Sujeong-gu, Seongnam-si 13120, Republic of Korea.
The NLRP3 inflammasome, plays a critical role in the pathogenesis of rheumatoid arthritis (RA) by activating inflammatory cytokines such as IL1β and IL18. Targeting NLRP3 has emerged as a promising therapeutic strategy for RA. In this study, a multidisciplinary approach combining machine learning, quantitative structure-activity relationship (QSAR) modeling, structure-activity landscape index (SALI), docking, molecular dynamics (MD), and molecular mechanics Poisson-Boltzmann surface area MM/PBSA assays was employed to identify novel NLRP3 inhibitors.
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