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:Twitter Related antimicrobial resistance clinical microbiology miscellaneous tuberculosis
antimicrobial resistance Updating the Grammar for Antimicrobial Resistance Catalogues 18th July 202418th July 2024 This blog updates an old (and now out of date) post describing the grammar we’ve… Share this:Twitter Read More
New preprint: validating antibiotic resistance prediction in our Myco pipeline 9th November 20249th November 2024 Over the last 18 months or so we’ve been designing, coding and testing a Mycobacterial… Share this:Twitter Read More
New publication: detecting minor populations important for predicting fluoroquinolone resistance 5th April 20238th December 2023 When predicting if an infection is resistant or susceptible to a specific antibiotic, it is… Share this:Twitter 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