New paper: predicting pyrazinamide resistance Philip Fowler, 20th March 202420th March 2024 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: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology publication research tuberculosis
antimicrobial resistance New preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network 29th October 202530th October 2025 In previous work we’ve used “traditional” machine-learning approaches, like XGBoost, to learn and therefore predict… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: predicting rifampicin resistance via free energy simulation 23rd September 20253rd October 2025 This work was carried out by Xibei Zhang, who is doing her PhD with Peter… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: quantitative measurement of effect of mutations on antibiotics in M. tuberculosis 15th January 202415th January 2024 The CRyPTIC project played a major role in the release by the WHO of their… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More