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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: tuberculosis

antimicrobial resistance

New preprint: Predicting antibiotic resistance in complex protein targets

Philip Fowler, 4th January 20224th January 2022

In this preprint, which Alice has been working on for several years, we show how…

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antimicrobial resistance

New Publication: Structure of MmpL3

Philip Fowler, 21st July 202121st July 2021

Oliver Adams successfully elucidated the structure of the M. tuberculosis MmpL3 membrane transporter using cryo-EM…

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antimicrobial resistance

Postdoctoral position advertised

Philip Fowler, 17th May 202117th May 2021

Through the CompBioMed2 EU Centre of Excellence project I have funding to appoint a postdoctoral…

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antimicrobial resistance

New print: Epidemiological cutoff values for a 96-well broth microdilution plate for M. tuberculosis

Philip Fowler, 5th March 202122nd March 2021

In this preprint, the CRyPTIC project proposes the maximum value of minimum inhibitory concentration (MIC)…

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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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