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Biosynthesis and activity of Zn-MnO nanocomposite in vitro with molecular docking studies against multidrug resistance bacteria and inflammatory activators.
Sci Rep
January 2025
Department of Hematology/Oncology, Yousef Abdulatif Jameel Scientific Chair of Prophetic Medicine Application, Faculty of Medicine, King Abdulaziz University, Jeddah, 21589, Kingdom of Saudi Arabia.
This study investigated the green synthesis of Zn-MnO nanocomposites via the fungus Penicillium rubens. Herein, the synthesized Zn-MnO nanocomposites were confirmed by UV-spectrophotometry with a top peak (370 nm). Transmission electron microscopy confirmed irregular particles with a spherical-like shape ranging from 25.
View Article and Find Full Text PDFStreptococcus pyogenes carriage rate, associated factors and antimicrobial susceptibility profiles among urban and rural schoolchildren at Gondar city, Northwest Ethiopia.
Sci Rep
January 2025
Department of Medical Microbiology, School of Biomedical and Laboratory Sciences, University of Gondar, Gondar, Ethiopia.
Streptococcus pyogenes remains one of the top ten causes of mortality from infectious diseases. Children in low-income nations have high carrier rates of Streptococcus pyogenes, which can serve as a source of infections, including simple superficial infections that may lead to invasive and post-streptococcal diseases, particularly among schoolchildren. This study aimed to assess the prevalence of Streptococcus pyogenes, associated factors, and antimicrobial susceptibility profiles among urban and rural public schoolchildren in Gondar City, Northwest Ethiopia.
View Article and Find Full Text PDFDeep eutectic solvent enhances antibacterial activity of a modular lytic enzyme against Acinetobacter baumannii.
Sci Rep
January 2025
Laboratory of Extremophiles Biology, Department of Microbiology, Faculty of Biology, University of Gdansk, Wita Stwosza 59, Gdansk, 80-308, Poland.
In this study, we evaluated the combined effect between MLE-15, a modular lytic enzyme composed of four building blocks, and reline, a natural deep eutectic solvent. The bioinformatic analysis allowed us to determine the spatial architecture of MLE-15, whose components were bactericidal peptide cecropin A connected via a flexible linker to the cell wall binding domain (CBD) of mesophilic 201ϕ2 - 1 endolysin and catalytic domain (EAD) of highly thermostable Ph2119 endolysin. The modular enzyme showed high thermostability with the melting temperature of 93.
View Article and Find Full Text PDFNanocellulose composites based on embedded europium-containing coordination polymers for the detection of antibiotics.
Int J Biol Macromol
January 2025
State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin University of Science and Technology, Tianjin 300457, PR China; Tianjin Key Laboratory of Pulp and Paper, Tianjin University of Science and Technology, Tianjin 300457, PR China; China Light Industry Key Laboratory of Papermaking and Biorefinery, Tianjin University of Science and Technology, Tianjin 300457, PR China. Electronic address:
Developing sensitive and reliable methods for detecting antibiotics in water solutions is essential for protecting public health and the environment. Here, we report a novel fluorescent film with superior mechanical properties and detection response to ciprofloxacin (CIP), achieved through the in-situ growth of europium-based metal-organic frameworks on TEMPO-oxidized cellulose nanofibrils (TOCNF). Firstly, Eu(III) and 2,6-pyridinedicarboxylic acid (DPA) served as precursors, and a simple self-assembly strategy was employed to grow the composite film material (Eu-DPA@TOCNF) in situ on TOCNF, which exhibited characteristic emission peaks.
View Article and Find Full Text PDFARGai 1.0: A GAN augmented in silico approach for identifying resistant genes and strains in E. coli using vision transformer.
Comput Biol Chem
January 2025
Department of Computer Application, National Institute of Technology, Raipur, India. Electronic address:
The emergence of infectious disease and antibiotic resistance in bacteria like Escherichia coli (E. coli) shows the necessity for novel computational techniques for identifying essential genes that contribute to resistance. The task of identifying resistant strains and multi-drug patterns in E.
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