Contact information
Viktoria Brunner
DPhil student
I am a computational biology PhD student working on antimicrobial resistance prediction in the Fowler group. We are part of the wider group of modernising medical microbiology at the Nuffield Department of Medicine, University of Oxford.
The overall aim of our research is to improve susceptibility prediction for antibiotics used in treatment of tuberculosis and other infectious diseases. To achieve this goal, we use the large anonymised clinical datasets available in-house for various pathogens to better the prediction of susceptibility to different antibiotics. We use machine learning and statistical modelling to achieve this goal. Additionally, we use the clinical data to get insights into the genetic determinants underlying antibiotic resistance and its spread.Those two things combined could be an important step towards tackling the spread of resistance and thereby the threat of a post-antibiotic era.
I mostly code in Python, but have conducted previous projects in R, MatLab and Java. Although I was formally trained as a biologist, I enjoy using computational tools to direct my research.
Websites
Recent publications
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Compensatory mutations are associated with increased in vitro growth in resistant clinical samples of Mycobacterium tuberculosis
Journal article
Brunner VM. and Fowler PW., (2024), Microbial Genomics, 10
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Compensatory mutations are associated with increasedin vitrogrowth in resistant clinical samples ofMycobacterium tuberculosis
Preprint
Brunner V. and Fowler PW., (2023)
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Glycolysis/gluconeogenesis specialization in microbes is driven by biochemical constraints of flux sensing
Journal article
Schink SJ. et al, (2022), Molecular Systems Biology, 18