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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

Research position advertised

Philip Fowler, 26th January 202126th January 2021

Come and work with me on antimicrobial resistance! Advert here. Broadly the idea is to…

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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: 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

New preprint: rapid prediction of AMR by free energy methods

Philip Fowler, 15th January 202015th January 2020

The story behind this preprint goes back to the workshop on free energy methods run…

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antimicrobial resistance

New preprint: Predicting pyrazinamide resistance by machine learning

Philip Fowler, 29th April 201929th April 2019

Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how…

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