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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Author: Philip Fowler

Philip W Fowler is a computational biophysicist studying antimicrobial resistance working at the John Radcliffe Hospital in Oxford.
teaching

Adventures in online lecturing mathematics to biochemists. Part 1.

Philip Fowler, 20th November 202020th November 2020

After one year of shadowing Professor Elspeth Garman, I’ve taken over lecturing the Mathematics course…

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antimicrobial resistance

New publication: how quickly can be calculate the effect of a mutation on an antibiotic?

Philip Fowler, 20th November 202020th November 2020

The idea for this paper arose during talking over coffee at the BioExcel Alchemical Free…

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antimicrobial resistance

New publication: Differential occupational risks to healthcare workers from SARS-CoV- 2

Philip Fowler, 2nd July 202022nd August 2020

Very pleased and proud to be included on this manuscript, which has been published in…

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antimicrobial resistance

New publication: Reconciling the potentially irreconcilable? Genotypic and phenotypic amoxicillin-clavulanate resistance in Escherichia coli.

Philip Fowler, 30th March 202022nd August 2020

Clinical microbiology often assumes a sample is resistant or susceptible. Making such a classification relies…

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antimicrobial resistance

New publication: Phylogenetically informative mutations in genes implicated in antibiotic resistance in Mycobacterium tuberculosis complex

Philip Fowler, 9th March 202016th March 2020

Although the population structure M. tuberculosis is clonal, one must be careful when inferring the…

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antimicrobial resistance

AMyGDA now available from GitHub

Philip Fowler, 27th January 202027th January 2020

AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each…

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