New paper: predicting rifampicin resistance via free energy simulation Philip Fowler, 23rd September 20253rd October 2025 This work was carried out by Xibei Zhang, who is doing her PhD with Peter Coveney at UCL. It builds on earlier work I did using alchemical free energy methods to calculate whether individual mutations in the protein target of an antibiotic reduce how well the drug can bind, thereby conferring resistance. The method was first shown to work on DHFR in S. aureus and this was followed up by another paper looking to see just how fast we could do this (as the method is extremely computationally intensive so even with access to high performance computing takes a while to return a result). DHFR is a fairly small protein so proved the method but wasn’t a good test. So myself and Alice then tried the RNA polymerase and DNA gyrase in M. tuberculosis with mixed results, mainly due to the longer convergence time required due to the sheer size of the protein complexes. Xibei has picked up the baton and applied their in-house free energy method, TIES_PM, to the RNA polymerase in this paper increasing the number of mutations considered from six to 61, in part through using the Polaris supercomputer at Argonne National Labs in the USA; it was the 12th fastest supercomputer on the planet back in 2021. Hence whilst these methods remain computational expensive, they are getting more tractable, even for large protein complexes like the RNA polymerase, as computer processing power continues to increase, especially as molecular dynamics codes can run on GPUs which continue to get bigger and faster due to the current focus on artificial intelligence. We have proposed a few research projects and, should one be funded, hope to return to this idea in the near future. 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 computing GPUs molecular dynamics publication research tuberculosis
antimicrobial resistance GPAS 17th May 202113th October 2021 I’ve been working on this for the last few months and very happy that we… 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 preprint: a deep learning model that can read 96-well broth micro dilution plates 23rd February 202523rd February 2025 The CRyPTIC project used bespoke 96-well broth microdilution plates to measure the minimum inhibitory concentrations… 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
meetings ESM Annual Congress 2025 25th June 20251st July 2025 Several of us attended the 45th Annual Congress of the European Society of Mycobacteriology in… 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