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: 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 miscellaneous tuberculosis
Viki Brunner wins poster prize 23rd November 202223rd November 2022 The whole group attended the first INEOS Oxford Institute meeting on Multidisciplinary Approaches to AMR… 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
New publication: CRyPTIC GWAS of antitubercular resistance 16th August 202216th August 2022 Since the primary goal of CRyPTIC was to map the genetic variants in M. tuberculosis… 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
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