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 described in detail by this paper, just published in PLoS Biology. Each isolate was whole genome sequenced and had its minimum inhibitory concentration to 13 different antibiotics measured using a bespoke 96-well broth microdilution plate. Alice Brankin, along with Kerri Malone from Zam Iqbal’s group at the EBI, led this work. Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology tuberculosis
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: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New publication: Validating a bespoke 96-well plate for high-throughput drug susceptibility testing of M. tuberculosis 28th August 201829th September 2018 This paper, published in Antimicrobial Agents and Chemotherapy, determines the reproducibility and accuracy of minimum… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New preprint: Predicting pyrazinamide resistance by machine learning 29th April 201929th April 2019 Usually, the protein that an antibiotic binds is essential for bacterial survival, which is how… Share this: Click to share on X (Opens in new window) X Click to share on Bluesky (Opens in new window) Bluesky Click to email a link to a friend (Opens in new window) Email Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Mastodon (Opens in new window) Mastodon Read More