AIMC Topic: Klebsiella

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Cloning, Characterization, and Computer-Aided Evolution of a Thermostable Laccase of the DUF152 Family From Klebsiella michiganensis.

Proteins Feb 14, 2025
Bacterial laccases exhibit relatively high optimal reaction temperatures and possess a broad substrate spectrum, thereby expanding the range of potential applications for laccase enzymes. This study aims to investigate the molecular evolution of bact...
Copper Binding Sites Amino Acid Sequence Mutagenesis, Site-Directed Laccase Cloning, Molecular Enzyme Stability Klebsiella Molecular Docking Simulation RNA, Ribosomal, 16S Bacterial Proteins Animals
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Prediction of Klebsiella phage-host specificity at the strain level.

Nature communications May 22, 2024
Phages are increasingly considered promising alternatives to target drug-resistant bacterial pathogens. However, their often-narrow host range can make it challenging to find matching phages against bacteria of interest. Current computational tools d...
Machine Learning Computer Simulation Klebsiella Bacteriophages Host Specificity
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Synthesis and in vitro activity of asymmetric indole-based bisamidine compounds against Gram-positive and Gram-negative pathogens.

Bioorganic & medicinal chemistry letters Dec 13, 2019
A series of new asymmetric bisamidine was designed, synthesized, and tested for their in-vitro antibacterial activity using a range of Gram-positive and Gram-negative pathogens. Most compounds demonstrated powerful antibacterial activity, and interes...
Molecular Structure Escherichia coli Anti-Bacterial Agents Pseudomonas aeruginosa Citrobacter freundii Microbial Sensitivity Tests Dose-Response Relationship, Drug Indoles Furans Structure-Activity Relationship Klebsiella
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Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.

Nature communications Oct 30, 2019
Raman optical spectroscopy promises label-free bacterial detection, identification, and antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds and accuracies remains challenging due to weak Raman signal from...
Enterococcus Humans Proteus mirabilis Streptococcus Salmonella enterica Neural Networks, Computer Bacterial Typing Techniques Klebsiella Anti-Bacterial Agents Staphylococcus aureus Deep Learning Methicillin-Resistant Staphylococcus aureus Microbial Sensitivity Tests Spectrum Analysis, Raman Candida Single-Cell Analysis Bacteria Bacterial Infections Support Vector Machine Logistic Models Principal Component Analysis Escherichia coli Pseudomonas aeruginosa
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Monitoring of antimicrobial susceptibility of udder pathogens recovered from cases of clinical mastitis in dairy cows across Europe: VetPath results.

Veterinary microbiology Nov 21, 2017
VetPath is an ongoing pan-European antimicrobial susceptibility monitoring programme collecting pathogens from diseased cattle, pigs and poultry not recently treated with antibiotics. Non-duplicate milk samples were collected from cows with acute cli...
Dairying Mammary Glands, Animal Female Streptococcus Klebsiella Animals Drug Resistance, Bacterial Europe Mastitis, Bovine Microbial Sensitivity Tests Anti-Infective Agents Cattle Escherichia coli Infections Streptococcal Infections Klebsiella Infections Escherichia coli
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Discrimination of Klebsiella pneumoniae and Klebsiella quasipneumoniae by MALDI-TOF Mass Spectrometry Coupled With Machine Learning.

MicrobiologyOpen Aug 1, 2025
Klebsiella species, including Klebsiella pneumoniae and Klebsiella quasipneumoniae, present significant challenges in clinical microbiology due to their genetic similarity, which complicates accurate species identification using established methods, ...
Humans Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Machine Learning Klebsiella Biomarkers Klebsiella pneumoniae Bacterial Typing Techniques Klebsiella Infections Lipids
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Machine learning-assisted substrate binding pocket engineering based on structural information.

Briefings in bioinformatics Jul 25, 2024
Engineering enzyme-substrate binding pockets is the most efficient approach for modifying catalytic activity, but is limited if the substrate binding sites are indistinct. Here, we developed a 3D convolutional neural network for predicting protein-li...
Protein Binding Models, Molecular Bacterial Proteins Neural Networks, Computer Machine Learning Substrate Specificity Protein Engineering Bacillus anthracis Ligands Klebsiella Binding Sites Acid Phosphatase
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