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A Noncatalytic Cysteine Residue Modulates Cobalamin Reactivity in the Human B Processing Enzyme CblC.
Biochemistry
January 2025
Laboratory of Clinical Biochemistry and Metabolism, Department of General Pediatrics, Adolescent Medicine and Neonatology, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg im Breisgau 79106, Germany.
Human CblC catalyzes the indispensable processing of dietary vitamin B by the removal of its β-axial ligand and an either one- or two-electron reduction of its cobalt center to yield cob(II)alamin and cob(I)alamin, respectively. Human CblC possesses five cysteine residues of an unknown function. We hypothesized that Cys149, conserved in mammals, tunes the CblC reactivity.
View Article and Find Full Text PDFEnhancing Activation Energy Predictions under Data Constraints Using Graph Neural Networks.
J Chem Inf Model
January 2025
Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan.
Accurately predicting activation energies is crucial for understanding chemical reactions and modeling complex reaction systems. However, the high computational cost of quantum chemistry methods often limits the feasibility of large-scale studies, leading to a scarcity of high-quality activation energy data. In this work, we explore and compare three innovative approaches (transfer learning, delta learning, and feature engineering) to enhance the accuracy of activation energy predictions using graph neural networks, specifically focusing on methods that incorporate low-cost, low-level computational data.
View Article and Find Full Text PDFSialic Acid-Modified NIR-II Fluorophore with Enhanced Brightness and Photoconversion Capability for Targeted Lymphoma Phototheranostics.
Anal Chem
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School of Life Sciences, Key Laboratory of Space Bioscience & Biotechnology, Northwestern Polytechnical University, Xi'an 710072, China.
Lymphoma is a malignant cancer characterized by a rapidly increasing incidence, complex etiology, and lack of obvious early symptoms. Efficient theranostics of lymphoma is of great significance in improving patient outcomes, empowering informed decision-making, and driving medical innovation. Herein, we developed a multifunctional nanoplatform for precise optical imaging and therapy of lymphoma based on a new photosensitizer (1-oxo-1-benzoo[de]anthracene-2,3-dicarbonitrile-triphenylamine (OBADC-TPA)).
View Article and Find Full Text PDFEnhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.
Comput Biol Med
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Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFA randomized control trial to compare Quiet Eye training efficacy to traditional technical training with undergraduate student nurses' peripheral intravenous cannulation performance: a protocol.
Br J Nurs
January 2025
Department of Psychology, Faculty of Arts, University of Calgary, Alberta, Canada; Community Health Sciences, Faculty of Medicine, University of Calgary, Alberta, Canada; Ward of the 21st Century, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Introduction: Peripheral intravenous cannulation (PIVC) is a common and complex procedure with low first-attempt success rates, causing patient suffering and increased healthcare costs. Quiet Eye (QE) training, a gaze-focused approach, has shown promise in improving procedural PIVC skills. We will examine the effectiveness of traditional technical training (TT) and QE training (QET) on student nurse PIVC performance.
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