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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: tuberculosis

antimicrobial resistance

New paper: detecting compensatory mutations in the RNAP of M. tuberculosis

Philip Fowler, 5th February 20245th February 2024

In this paper, by examining testing the association between mutations known to be associate with…

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antimicrobial resistance

New paper: quantitative measurement of effect of mutations on antibiotics in M. tuberculosis

Philip Fowler, 15th January 202415th January 2024

The CRyPTIC project played a major role in the release by the WHO of their…

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clinical microbiology

Our World in Data

Philip Fowler, 10th January 202410th January 2024

I didn’t know that Our World in Data was also based at the University of…

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antimicrobial resistance

Updated preprint: predicting pyrazinamide resistance

Philip Fowler, 21st November 20238th December 2023

This study was performed by Josh Carter back in 2019 and we uploaded a preprint…

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Desirable features for any antibiotic resistance catalogue

Philip Fowler, 31st October 202331st October 2023

In the past few years a growing number of catalogues containing mutations associated with resistance…

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antimicrobial resistance

New preprint: compensatory mutations are associated with increased growth in resistant samples of M. tuberculosis.

Philip Fowler, 22nd June 20238th December 2023

In this preprint, Viki Brunner shows how, using the large CRyPTIC dataset, she can recapitulate…

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