AIMC Topic: Pyrazinamide
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A biochemically-interpretable machine learning classifier for microbial GWAS.
Nature communications
May 22, 2020
Current machine learning classifiers have successfully been applied to whole-genome sequencing data to identify genetic determinants of antimicrobial resistance (AMR), but they lack causal interpretation. Here we present a metabolic model-based machi...
Rapid microarray-based assay for detection of pyrazinamide resistant Mycobacterium tuberculosis.
Diagnostic microbiology and infectious disease
Dec 30, 2018
Pyrazinamide (PZA) is a key antibiotic for the treatment of drug susceptible tuberculosis. PZA-resistance is mainly mediated by mutations in the pncA gene; however the current gold standard is a phenotypic drug susceptibility test requiring a well-ad...
Rapid and sensitive method for simultaneous determination of first-line anti-tuberculosis drugs in human plasma by HPLC-MS/MS: Application to therapeutic drug monitoring.
Tuberculosis (Edinburgh, Scotland)
Nov 24, 2017
First-line anti-tuberculosis drugs are playing vital roles for curbing rapid spread of tuberculosis. Multidrug therapies are commonly applied in clinical to achieve better treatment outcomes. However, drug resistance and adverse reactions come along ...
An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: Tuberculosis is the leading cause of death from a single infectious agent. The emergence of antimicrobial resistant Mycobacterium tuberculosis strains makes the problem more severe. Pyrazinamide (PZA) is an important component for short-co...
Artificial intelligence-derived 3-Way Concentration-dependent Antagonism of Gatifloxacin, Pyrazinamide, and Rifampicin During Treatment of Pulmonary Tuberculosis.
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Nov 28, 2018
BACKGROUND: In the experimental arm of the OFLOTUB trial, gatifloxacin replaced ethambutol in the standard 4-month regimen for drug-susceptible pulmonary tuberculosis. The study included a nested pharmacokinetic (PK) study. We sought to determine if ...
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.
Bioinformatics (Oxford, England)
May 15, 2018
MOTIVATION: Correct and rapid determination of Mycobacterium tuberculosis (MTB) resistance against available tuberculosis (TB) drugs is essential for the control and management of TB. Conventional molecular diagnostic test assumes that the presence o...
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