The needs for diverse inhibitors of α-glucosidase (α-Gls) encouraged us to synthesize five different poly-hydroxy functionalized pyrimidine-fused heterocyclic (PHPFH) molecules, having either aliphatic or aromatic side chains (C1-C5) and their inhibitory activities were examined spectroscopically against yeast and mouse intestinal α-Gls. The results revealed that aromatic substitution of the synthetic compounds has significant impact on their inhibitory properties. Moreover C3 with the substituted moiety as 4-(4-aminophenylsulfonyl) phenyl (4-APSP) revealed strong inhibitory activity with non-competitive and competitive inhibition modes against yeast and mouse α-Gls, respectively. Furthermore, in the presence of increasing concentration of C3, both Trp and 1-anilinonaphthalene-8-sulfonic acid (ANS) fluorescence intensities of yeast α-Gls were gradually decreased, suggesting that C3 binding induced significant structural alteration which was accompanied with the reduction of hydrophobic surfaces. Also, the interaction between yeast α-Gls and C3 was proved to be spontaneous and driven mainly by hydrophobic forces. Overall, this study suggests that aromatic substitution on pyrimidine-fused heterocyclic (PFH) scaffold may represent a novel class of promising inhibitors of α-Gls.
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http://dx.doi.org/10.3109/14756366.2012.727812 | DOI Listing |
Sci Rep
January 2025
Department of Electrical Electronical Engineering, Yaşar University, Bornova, İzmir, Turkey.
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparametric MRI. We focused on multi-habitat deep image descriptors as our basic focus. A subset of the BRATS 2021 MGMT methylation dataset containing both MGMT class labels and segmentation masks was used.
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January 2025
Advanced Manufacturing Lab, ETH Zürich, Leonhardstrasse 21, 8092, Zurich, Switzerland.
The rapid advancements in additive manufacturing (AM) across different scales and material classes have enabled the creation of architected materials with highly tailored properties. Beyond geometric flexibility, multi-material AM further expands design possibilities by combining materials with distinct characteristics. While machine learning has recently shown great potential for the fast inverse design of lattice structures, its application has largely been limited to single-material systems.
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January 2025
Department of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.
Exploring the potential of advanced artificial intelligence technology in predicting microsatellite instability (MSI) and Ki-67 expression of endometrial cancer (EC) is highly significant. This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. A retrospective study included 156 EC patients who were subsequently categorized into MSI and Ki-67 groups.
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January 2025
Toronto Metropolitan University, Toronto, Canada. Electronic address:
This research introduces an innovative approach to optimal control for a class of linear systems with input saturation. It leverages the synergy of Takagi-Sugeno (T-S) fuzzy models and reinforcement learning (RL) techniques. To enhance interpretability and analytical accessibility, our approach applies T-S models to approximate the value function and generate optimal control laws while incorporating prior knowledge.
View Article and Find Full Text PDFBMJ Open Qual
January 2025
Professor Department of Obstetrics and Gynaecology, Lady Hardinge Medical College, New Delhi, India.
Background: Allowing a birth companion is the basic right of a mother and is identified as an important component of respectful maternity care. The implementation of this intervention has been a challenge in heavy-load public health facilities in India.
Local Problem: Despite the proven benefits of the presence of birth companions on maternal-fetal outcomes, there was no policy of allowing birth companions in our hospital.
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