Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic Data

Predicting Phenotypic Polymyxin Resistance in Klebsiella pneumoniae through Machine Learning Analysis of Genomic Data

Polymyxins are last-resort antibiotics used to treat highly resistant Gram-negative bacteria. There are increasing reports of polymyxin resistance emerging, raising concerns of a postantibiotic era. Polymyxin resistance is therefore a significant public health threat, but current phenotypic methods...

Full description

Bibliographic Details
Main Authors: Nenad Macesic, Oliver J. Bear Don’t Walk, Itsik Pe’er, Nicholas P. Tatonetti, Anton Y. Peleg, Anne-Catrin Uhlemann
Format: Article
Language:English
Published: American Society for Microbiology 2020-05-01
Series:mSystems
Subjects:
genotype
phenotype
prediction
antimicrobial resistance
machine learning
Online Access:https://doi.org/10.1128/mSystems.00656-19

Internet

https://doi.org/10.1128/mSystems.00656-19

Similar Items