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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: tuberculosis

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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New refereed preprint: BashTheBug

Philip Fowler, 31st March 202231st March 2022

BashTheBug is a citizen science project hosted on the Zooniverse platform that we launched in…

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New publication: WHO catalogue of Mycobacterium tuberculosis resistant mutations

Philip Fowler, 28th March 202228th March 2022

The CRyPTIC project collecting over 20,000 clinical samples of TB and for each, sequencing its…

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