New preprint: Predicting antibiotic resistance in complex protein targets Philip Fowler, 4th January 20224th January 2022 In this preprint, which Alice has been working on for several years, we show how alchemical free energy methods can predict whether an amino acid mutation confers resistance to an antitubercular, but only in cases where the change in binding free energy is large. This is mainly because the confidence limits on the change in binding free energies are, somewhat inevitably given the sizes of the DNA gyrase and RNA polymerase, large. Hence this work complements earlier work on a much smaller protein, DHFR, that demonstrated the method can be successful, but of course the predicted errors are much smaller — to the point that one can accelerate the computation by using large numbers of very short simulations. Share this:Twitter Related antimicrobial resistance clinical microbiology computing group molecular dynamics publication research tuberculosis
group Philip Fowler joins Reuben College as a Fellow 18th September 20238th December 2023 Very pleased to announce that I’ve been elected an Official Fellow at Reuben College. The… Share this:Twitter Read More
Philip Fowler appointed as Associate Professor 13th January 202313th January 2023 More good news for the group! Philip was awarded an Associate Professorship by the Nuffield… Share this:Twitter Read More
antimicrobial resistance I’ve moved… 14th March 20165th August 2018 Today is my first day as a Senior Researcher in Modernising Medical Microbiology in the… Share this:Twitter Read More