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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: antimicrobial resistance

New preprint: a deep learning model that can read 96-well broth micro dilution plates

Philip Fowler, 23rd February 202523rd February 2025

The CRyPTIC project used bespoke 96-well broth microdilution plates to measure the minimum inhibitory concentrations…

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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 paper: Infection Inspection

Philip Fowler, 10th September 202410th September 2024

This paper is the cumulation of a lot of hard work by an interdisciplinary team…

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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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