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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

Viki Brunner wins poster prize

Philip Fowler, 23rd November 202223rd November 2022

The whole group attended the first INEOS Oxford Institute meeting on Multidisciplinary Approaches to AMR…

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New preprint: Including minor alleles improves fluoroquinolone resistance prediction

Philip Fowler, 10th November 202217th November 2022

Fluoroquinolones are used to treat both normal and drug resistant tuberculosis and therefore being able…

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New publication: Predicting antibiotic resistance in complex protein targets using alchemical free energy methods

Philip Fowler, 26th August 202224th October 2022

In this paper, Alice Brankin calculates how different mutations in the DNA gyrase affect the…

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New publication: CRyPTIC Data Compendium

Philip Fowler, 16th August 202216th August 2022

The large and comprehensive dataset of clinical tuberculosis isolates collected by the CRyPTIC project is…

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New publication: CRyPTIC GWAS of antitubercular resistance

Philip Fowler, 16th August 202216th August 2022

Since the primary goal of CRyPTIC was to map the genetic variants in M. tuberculosis…

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New publication: BashTheBug works!

Philip Fowler, 20th May 202219th July 2022

Yesterday eLife published the first paper from our citizen science project, BashTheBug, which was launched…

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