The main aim of our research is to develop methods that can de novo predict the effect of protein mutations on the action of antibiotics.
Latest News
- Updated preprint: predicting pyrazinamide resistance
- Desirable features for any antibiotic resistance catalogue
- Philip Fowler joins Reuben College as a Fellow
- New preprint: compensatory mutations are associated with increased growth in resistant samples of M. tuberculosis.
- New publication: detecting minor populations important for predicting fluoroquinolone resistance
- New publication: determining novel mechanisms of bedaquiline resistance
- DPhil in Computational Discovery
- Congratulations Dr Brankin!
- Philip Fowler appointed as Associate Professor
- Viki Brunner wins poster prize
- New preprint: Including minor alleles improves fluoroquinolone resistance prediction
- New publication: Predicting antibiotic resistance in complex protein targets using alchemical free energy methods
- New publication: CRyPTIC Data Compendium
- New publication: CRyPTIC GWAS of antitubercular resistance
- New publication: BashTheBug works!