AIMC Topic: Acinetobacter baumannii

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Neural network-based predictions of antimicrobial resistance phenotypes in multidrug-resistant from whole genome sequencing and gene expression.

Antimicrobial agents and chemotherapy Nov 14, 2024
Whole genome sequencing (WGS) potentially represents a rapid approach for antimicrobial resistance genotype-to-phenotype prediction. However, the challenge still exists to predict fully minimum inhibitory concentrations (MICs) and antimicrobial susce...
Genome, Bacterial Whole Genome Sequencing Acinetobacter Infections Acinetobacter baumannii Multilocus Sequence Typing Humans Neural Networks, Computer Anti-Bacterial Agents Phenotype Phylogeny Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Genotype
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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...
beta-Lactamases Humans Acinetobacter baumannii Machine Learning Smartphone Gram-Negative Bacteria Sensitivity and Specificity Gram-Negative Bacterial Infections Molecular Diagnostic Techniques Nucleic Acid Amplification Techniques Bacterial Proteins
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VacSol-ML(ESKAPE) Machine learning empowering vaccine antigen prediction for ESKAPE pathogens.

Vaccine Aug 9, 2024
The ESKAPE family, comprising Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp., poses a significant global threat due to their heightened virulence and extensiv...
Machine Learning Klebsiella pneumoniae Computational Biology Staphylococcus aureus Humans Enterococcus faecium Bacterial Vaccines Vaccinology Enterobacter Pseudomonas aeruginosa Acinetobacter baumannii Antigens, Bacterial
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Predictive modeling of mortality in carbapenem-resistant bloodstream infections using machine learning.

Journal of investigative medicine : the official publication of the American Federation for Clinical Research Jul 30, 2024
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompting a deeper exploration of treatment alternatives due to escalating carbapenem resistance. This study meticulously examined clinical, microbiological...
Aged Male Middle Aged Bacteremia Machine Learning Drug Resistance, Bacterial Female Acinetobacter Infections Acinetobacter baumannii Carbapenems Humans
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Antibiotic discovery with artificial intelligence for the treatment of infections.

mSystems May 3, 2024
UNLABELLED: Global challenges presented by multidrug-resistant infections have stimulated the development of new treatment strategies. We reported that outer membrane protein W (OmpW) is a potential therapeutic target in . Here, a library of 11,648 ...
Anti-Bacterial Agents Drug Discovery Microbial Sensitivity Tests Acinetobacter Infections Acinetobacter baumannii Quantitative Structure-Activity Relationship Bacterial Outer Membrane Proteins Humans Artificial Intelligence
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Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii.

Nature chemical biology May 25, 2023
Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resistance. Discovering new antibiotics against A. baumannii has proven challenging through conventional screening approaches. Fortunately, machine learning ...
Mice Acinetobacter baumannii Deep Learning Anti-Bacterial Agents Animals Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial
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Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.

Nature biomedical engineering Mar 11, 2021
The de novo design of antimicrobial therapeutics involves the exploration of a vast chemical repertoire to find compounds with broad-spectrum potency and low toxicity. Here, we report an efficient computational method for the generation of antimicrob...
Anti-Bacterial Agents Drug Resistance, Bacterial Female Antimicrobial Cationic Peptides Animals Structure-Activity Relationship Drug Design Molecular Dynamics Simulation Drug Discovery Amino Acid Sequence Klebsiella Infections Pseudomonas aeruginosa Escherichia coli Acinetobacter baumannii Staphylococcus aureus Deep Learning Mice, Inbred BALB C Microbial Sensitivity Tests Mice Klebsiella pneumoniae
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Using machine learning to optimize antibiotic combinations: dosing strategies for meropenem and polymyxin B against carbapenem-resistant Acinetobacter baumannii.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Feb 12, 2020
OBJECTIVES: Increased rates of carbapenem-resistant strains of Acinetobacter baumannii have forced clinicians to rely upon last-line agents, such as the polymyxins, or empirical, unoptimized combination therapy. Therefore, the objectives of this stud...
Carbapenems Polymyxin B Drug Therapy, Combination Meropenem Acinetobacter Infections Acinetobacter baumannii Anti-Bacterial Agents Humans Drug Resistance, Bacterial Machine Learning Microbial Sensitivity Tests
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Molecular mechanisms of antibiotic co-resistance among carbapenem resistant Acinetobacter baumannii.

Journal of infection in developing countries Oct 31, 2019
INTRODUCTION: The spread of carbapenem-resistant Acinetobacter baumannii (CRAB) is difficult to control especially in the hospitals due to the successful mobilization and evolution of the genetic elements harboring the resistant determinants. The stu...
Drug Resistance, Microbial Male Humans Acinetobacter baumannii Microbial Sensitivity Tests beta-Lactamases Anti-Bacterial Agents Carbapenems Bacterial Proteins Pakistan Colistin Female Tertiary Care Centers Acinetobacter Infections Tigecycline
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Biocide susceptibilities and biofilm-forming capacities of Acinetobacter baumannii clinical isolates from Malaysia.

Journal of infection in developing countries Jul 31, 2019
INTRODUCTION: Acinetobacter baumannii is a Gram-negative nosocomial pathogen that has the capacity to develop resistance to all classes of antimicrobial compounds. However, very little is known regarding its susceptibility to biocides (antiseptics an...
Biofilms Microbial Sensitivity Tests Humans Benzethonium Malaysia Chlorhexidine Cross Infection Drug Resistance, Bacterial Disinfectants Acinetobacter Infections Prevalence Acinetobacter baumannii Benzalkonium Compounds
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