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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: research

antimicrobial resistance

CRyPTIC datasets available through new website

Philip Fowler, 25th June 20253rd July 2025

The CRyPTIC project ran from 2016 to 2022 and collected >20,000 clinical samples from patients…

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antimicrobial resistance

New paper: automatically and reproducibly building a catalogue bedaquline resistance-associated variants

Philip Fowler, 18th June 20251st July 2025

Dylan Adlard‘s paper describing how we can rapidly automatically build catalogues of bedaquiline resistance-associated variants…

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New preprint: automatically building a better bedaquiline catalogue

Philip Fowler, 31st January 202531st January 2025

A catalogue recording whether individual mutations confer resistance or not to specified antibiotics is a…

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New preprint: comparing different genetics analysis pipelines for tuberculosis

Philip Fowler, 13th January 202513th January 2025

Ruan Spies has done a careful systematic comparison of the current genetics pipelines that purport…

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New preprint: validating antibiotic resistance prediction in our Myco pipeline

Philip Fowler, 9th November 202413th January 2025

Over the last 18 months or so we’ve been designing, coding and testing a Mycobacterial…

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antimicrobial resistance

New preprint: predicting rifampicin resistance

Philip Fowler, 16th August 202416th August 2024

In this preprint we train a series of machine learning models on protein mutations found…

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