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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

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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group

Philip Fowler joins Reuben College as a Fellow

Philip Fowler, 18th September 20238th December 2023

Very pleased to announce that I’ve been elected an Official Fellow at  Reuben College. The…

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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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New publication: detecting minor populations important for predicting fluoroquinolone resistance

Philip Fowler, 5th April 20238th December 2023

When predicting if an infection is resistant or susceptible to a specific antibiotic, it is…

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New publication: determining novel mechanisms of bedaquiline resistance

Philip Fowler, 30th March 20235th April 2023

A new paper with Lindsay Sonnenkalb as first-author has just been published in The Lancet…

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DPhil in Computational Discovery

Philip Fowler, 23rd January 202323rd January 2023

I have a project advertised as part of the DPhil in Computational Discovery programme at…

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