New paper: predicting pyrazinamide resistance Philip Fowler, 20th March 202420th March 2024 0 shares This paper has finally been published and you can find it here. It had a slightly tortuous journey from original preprint to updated preprint and now publication. In brief, we use a range of structural, chemical and evolutional features to learn which missense mutations in PncA (encoded by pncA) are associated with resistance to pyrazinamide, one of the four first-line antibiotics used to treat tuberculosis. This research output is designed to be reproducible; you can retrain all machine learning models and replot (nearly) all the figures in the paper using this GitHub repository. Share this:Twitter Related antimicrobial resistance clinical microbiology publication research tuberculosis
New publication: CRyPTIC Data Compendium 16th August 202216th August 2022 The large and comprehensive dataset of clinical tuberculosis isolates collected by the CRyPTIC project is… Share this:Twitter Read More
publication New Publication: Effect of SAO mutation on Band 3 12th January 201729th September 2018 There is a lovely story behind this paper just published earlier this week in Biochemistry…. Share this:Twitter Read More
antimicrobial resistance BioExcel Alchemical Free Energy workshop 17th June 2019 Last month I was invited to give a talk on using alchemical free energy methods… Share this:Twitter Read More