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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: publication

antimicrobial resistance

New preprint: rapid prediction of AMR by free energy methods

Philip Fowler, 15th January 202015th January 2020

The story behind this preprint goes back to the workshop on free energy methods run…

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antimicrobial resistance

New publication: Predicting resistance is (not) futile

Philip Fowler, 21st August 201921st August 2019

Our “First Reactions” article has been published in ACS Central Science. We discuss the paper,…

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antimicrobial resistance

New preprint: Predicting pyrazinamide resistance by machine learning

Philip Fowler, 29th April 201929th April 2019

Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how…

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antimicrobial resistance

New publication: Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of M. tuberculosis

Philip Fowler, 26th October 2018

In this Microbiology paper we show how a Python package, called the Automated Mycobacterial Detection Growth…

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antimicrobial resistance

New publication: Assessing Drug Susceptibility in Tuberculosis

Philip Fowler, 28th September 201829th September 2018

A paper was published in the New England Journal of Medicine earlier this week by…

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antimicrobial resistance

New publication: Validating a bespoke 96-well plate for high-throughput drug susceptibility testing of M. tuberculosis

Philip Fowler, 28th August 201829th September 2018

This paper, published in Antimicrobial Agents and Chemotherapy, determines the reproducibility and accuracy of minimum…

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