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
antimicrobial resistance BashTheBug reaches one million classifications 4th October 20184th October 2018 BashTheBug, a citizen science project I run that is helping us measure how different… 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: BashTheBug works! 20th May 202219th July 2022 Yesterday eLife published the first paper from our citizen science project, BashTheBug, which was launched… 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: rapid prediction of AMR by free energy methods 15th January 202015th January 2020 The story behind this preprint goes back to the workshop on free energy methods run… 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