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:TwitterBlueskyEmailLinkedInMastodon Related antimicrobial resistance clinical microbiology computing group molecular dynamics publication research tuberculosis
meetings Analysing Simulation Data CECAM Workshop, Jülich, 14-15 October 2015 28th October 2015 This two day workshop on Analysing Simulation Data was part of the larger CECAM Macromolecular… Share this:TwitterBlueskyEmailLinkedInMastodon Read More
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antimicrobial resistance BashTheBug Coordinator post advertised 15th November 2019 We are advertising for a Part-time Citizen Science Project Co-ordinator to come and work with… Share this:TwitterBlueskyEmailLinkedInMastodon Read More