Using ATP to understand AMR: a modelling challenge
Lead Research Organisation:
University of East Anglia
Abstract
This project will assess the impact of antimicrobials upon ATP metabolism in uropathogenic bacteria. The results will aid the development of a clinical diagnostic test for urinary tract infections (UTIs) that can inform antimicrobial therapy.
A combination of computational biology and molecular microbiology will be used to generate a genome scale metabolic model in E. coli, perform bioinformatic analyses and experimental assays to investigate how ATP is affected by different antimicrobial modes of action. A 3-month placement at the diagnostic company Test&Treat will provide training in the rapid diagnosis of urinary tract infection, the design of clinical diagnostic trials and the quality assurance required in manufacturing clinical diagnostic products.
A combination of computational biology and molecular microbiology will be used to generate a genome scale metabolic model in E. coli, perform bioinformatic analyses and experimental assays to investigate how ATP is affected by different antimicrobial modes of action. A 3-month placement at the diagnostic company Test&Treat will provide training in the rapid diagnosis of urinary tract infection, the design of clinical diagnostic trials and the quality assurance required in manufacturing clinical diagnostic products.
People |
ORCID iD |
| Cailean Carter (Student) |
 http://orcid.org/0000-0001-9809-2465
|
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| MR/R015937/1 | 30/09/2018 | 30/11/2025 | |||
| 2369834 | Studentship | MR/R015937/1 | 01/01/2020 | 29/09/2023 | Cailean Carter |