AIMC Topic: beta-Lactamases
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Evolutionary Dynamics and Functional Differences in Clinically Relevant Pen β-Lactamases from spp.
Journal of chemical information and modeling
May 2, 2025
Antimicrobial resistance (AMR) is a global threat, with species contributing significantly to difficult-to-treat infections. The Pen family of β-lactamases are produced by all spp., and their mutation or overproduction leads to the resistance of β-...
A dataset for machine learning-based QSAR models establishment to screen beta-lactamase inhibitors using the FARM -BIOMOL chemical library.
BMC research notes
Mar 3, 2025
OBJECTIVES: Beta-lactamase is a bacterial enzyme that deactivates beta-lactam antibiotics, and it is one of the leading causes of antibiotic resistance problems globally. In current drug discovery research, molecular simulation, like molecular dockin...
Machine learning detection of heteroresistance in Escherichia coli.
EBioMedicine
Feb 21, 2025
BACKGROUND: Heteroresistance (HR) is a significant type of antibiotic resistance observed for several bacterial species and antibiotic classes where a susceptible main population contains small subpopulations of resistant cells. Mathematical models, ...
A novel machine-learning aided platform for rapid detection of urine ESBLs and carbapenemases: URECA-LAMP.
Journal of clinical microbiology
Oct 24, 2024
Pathogenic gram-negative bacteria frequently carry genes encoding extended-spectrum beta-lactamases (ESBL) and/or carbapenemases. Of great concern are carbapenem resistant , , and . Despite the need for rapid AMR diagnostics globally, current molecu...
Modelling the rapid detection of Carbapenemase-resistant Klebsiella pneumoniae based on machine learning and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.
Diagnostic microbiology and infectious disease
Jul 30, 2024
In this study, 80 carbapenem-resistant Klebsiella pneumoniae (CR-KP) and 160 carbapenem-susceptible Klebsiella pneumoniae (CS-KP) strains detected in the clinic were selected and their matrix-assisted laser desorption/ionization time-of-flight mass s...
Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase.
Journal of chemical information and modeling
May 10, 2024
The worldwide spread of the metallo-β-lactamases (MBL), especially New Delhi metallo-β-lactamase-1 (NDM-1), is threatening the efficacy of β-lactams, which are the most potent and prescribed class of antibiotics in the clinic. Currently, FDA-approved...
Deciphering the Coevolutionary Dynamics of L2 β-Lactamases via Deep Learning.
Journal of chemical information and modeling
Apr 30, 2024
L2 β-lactamases, serine-based class A β-lactamases expressed by , play a pivotal role in antimicrobial resistance (AMR). However, limited studies have been conducted on these important enzymes. To understand the coevolutionary dynamics of L2 β-lactam...
Machine-learning-based risk assessment tool to rule out empirical use of ESBL-targeted therapy in endemic areas.
The Journal of hospital infection
Apr 27, 2024
BACKGROUND: Antimicrobial stewardship focuses on identifying patients who require extended-spectrum beta-lactamase (ESBL)-targeted therapy. 'Rule-in' tools have been researched extensively in areas of low endemicity; however, such tools are inadequat...
Characterization of extended-spectrum beta-lactamase and carbapenemase genes in bacteria from environment in Burkina Faso.
Journal of infection in developing countries
Dec 31, 2023
INTRODUCTION: This study aimed to characterize extended-spectrum beta-lactamase (ESBL) and carbapenemase genes in bacteria from the environment in Bobo-Dioulasso, Burkina Faso.
What are the most relevant publications in Clinical Microbiology in the last two years?
Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia
Nov 24, 2023
This minireview describes some of the articles published in the last two years related to innovative technologies including CRISPR-Cas, surface-enhanced Raman spectroscopy, microfluidics, flow cytometry, Fourier transform infrared spectroscopy, and a...
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