I’ve moved… Philip Fowler, 14th March 20165th August 2018 Today is my first day as a Senior Researcher in Modernising Medical Microbiology in the Nuffield Department of Medicine at the University of Oxford. Practically I’ll be based at the John Radcliffe Hospital in Oxford. I was a Postdoctoral Researcher in the SBCB Unit at the Department of Biochemistry for ten years, working with Professor Mark Sansom. During that time I used computer simulation to study the function of a variety of membrane proteins, focussing mainly on cell signalling, transporters and ion channels. Now I will be leading efforts to predict whether novel bacterial mutations lead to antibiotic resistance (or not). The key idea is to examine the effect of each mutation on the binding of the antibiotic to its target protein. This boils down to calculating how the binding free energy changes when you make the mutation — something that alchemical free energy methods, such as thermodynamic integration is well-suited to. More soon. 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 miscellaneous tuberculosis
antimicrobial resistance New preprint: predicting rifampicin resistance 16th August 202416th August 2024 In this preprint we train a series of machine learning models on protein mutations found… 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 publication: Assessing Drug Susceptibility in Tuberculosis 28th September 201829th September 2018 A paper was published in the New England Journal of Medicine earlier this week by… 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 preprint: Deciphering bedaquiline and clofazimine resistance in tuberculosis 22nd March 202122nd March 2021 In this preprint we examine 14,151 clinical isolates drawn from the CRyPTIC dataset. Each isolate… 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
Congratulations, Phil! Cool to use statistical physics, computer simulations and structural biology to combat the pressing problem of bacterial resistance to antimicrobials. That’s a fight we (as a civilization) can’t afford to loose. Reply