After one year of shadowing Professor Elspeth Garman, I’ve taken over lecturing the Mathematics course to the first-year undergraduates studying Biochemistry at the University of Oxford. A little over ten years ago I was a class tutor on this course and always liked it, partly because it is a challenge: I think many of the […]
The idea for this paper arose during talking over coffee at the BioExcel Alchemical Free Energy workshop in May 2019. We’d previously shown that alchemical free energy methods could successfully predict which mutations in S. aureus DHFR confer resistance to trimethoprim (and crucially, which do not). That is all well and good, but to do […]
Very pleased and proud to be included on this manuscript, which has been published in eLife (and is also available as a preprint); the observations are drawn from the large and comprehensive SARS-CoV-2 testing programme run by Oxford University Hospitals NHS Trust. I helped develop the internal website used by staff to book appointments and […]
Clinical microbiology often assumes a sample is resistant or susceptible. Making such a classification relies on applying a threshold (usually called a cutoff) to quantitative data, such as minimum inhibitory concentrations (MICs). If the MICs are strongly bimodal, then this is trivial and reproducibility is guaranteed. If the MICs are unimodal, then one is left […]
Although the population structure M. tuberculosis is clonal, one must be careful when inferring the effect of individual mutations on the effect of an antibiotic. Purely because a mutation appears to define a phylogeny does not mean it has no effect on the minimum inhibitory concentration. Read more here (Open Access).
AMyGDA is a python module that analyses photographs of 96-well plates and, by examining each well for bacterial growth, is able to read a series of minimum inhibitory concentrations for the antibiotics present on a plate. Previously it was only available to download from this website (due to licensing) if you gave your email address […]
The story behind this preprint goes back to the workshop on free energy methods run by BioExcel in Göttingen in May 2019. I gave a talk, based in part on the work I’d previously published showing how alchemical free energy methods are able to predict which mutations in S. aureus DHFR confer resistance to trimethoprim.
We are advertising for a Part-time Citizen Science Project Co-ordinator to come and work with us in Oxford improving BashTheBug, in particular how the project engages, informs and educates its existing base of volunteers, as well as reaching out to new audiences. The closing date is Monday 25 November 2019. For more information please see […]
HECBioSim advertised for proposals to use JADE, the new Tier-2 UK GPU high performance computer back in April 2019. JADE is built around NVIDIA DGX-1s, each of which contains 8 Tesla V100 GPUs. I’d previously run some alchemical free energy calculations on ARCHER, the Tier-1 UK academic supercomputer that has a conventional architecture, thanks to […]
Our “First Reactions” article has been published in ACS Central Science. We discuss the paper, Predicting Kinase Inhibitor Resistance: Physics-Based and Data-Driven Approaches, by Matteo Aldeghi, Vytautas Gapsys and Bert de Groot, which is in the same issue of the journal. Aldeghi et al. apply a series of methods to try and predict the effect […]