Journal article
Identifying novel β-lactamase substrate activity through in silico prediction of antimicrobial resistance
Abstract
Diagnosing antimicrobial resistance (AMR) in the clinic is based on empirical evidence and current gold standard laboratory phenotypic methods. Genotypic methods have the potential advantages of being faster and cheaper, and having improved mechanistic resolution over phenotypic methods. We generated and applied rule-based and logistic regression models to predict the AMR phenotype from Escherichia coli and Pseudomonas aeruginosa …
Authors
Tsang KK; Maguire F; Zubyk HL; Chou S; Edalatmand A; Wright GD; Beiko RG; McArthur AG
Journal
Microbial Genomics, Vol. 7, No. 1,
Publisher
Microbiology Society
Publication Date
January 1, 2021
DOI
10.1099/mgen.0.000500
ISSN
2057-5858
Associated Experts
Fields of Research (FoR)
Medical Subject Headings (MeSH)
AlgorithmsAnti-Bacterial AgentsComputational BiologyComputer SimulationData CurationDrug Resistance, BacterialEscherichia coliGene Expression ProfilingGene Expression Regulation, BacterialHigh-Throughput Nucleotide SequencingLogistic ModelsPseudomonas aeruginosaWhole Genome Sequencingbeta-Lactamases