Bioinformatics
New for 2024!
Antimicrobial Resistance (AMR) is currently one of the biggest health threats to mankind and is caused by a total or partial failure of medicines to kill or prevent the growth of pathogenic bacteria, parasites, and or viruses. This gives rise to inadequate treatment strategies to combat emerging and non-emerging infectious diseases. To address this challenge, we develop and interrogate metabolic system databases and models; we utilize a multidisciplinary approach using systems biology, machine learning, and artificial intelligence to interrogate the growth rates of pathogens and their virulence patterns to support the discovery of novel targets against mycobacteria, viruses, and parasites from these datasets.
Intended audience
Research projects in this stream may be of particular interest to students in biochemistry, computer science, maths and evolutionary biology.
Previous knowledge
Biology, Chemistry, Data analysis, and interest in the research subject will be an advantage.
Assessment
Dissertation (no more than 6,000 words): 100% of the total.
Research Topics
The potential research proposals you could pursue on the programme are listed below. The specific research focus of your project will be determined and confirmed with guidance from your supervisor.
The projects in this stream endeavour to tailoring pathogenic growth rate and virulence to aid research in AMR and drug discovery. The exciting research topics in this research area is to compare and design novel drug targets against any of the following pathogens, plus you can choose your own pathogen of interest:
- SARS-CoV-2
- Monkeypox virus
- Mycobacterium tuberculosis
- Mycobacterium abscessus
- Mycobacterium leprae
Prefer to follow a research idea of your own?
Take a look at the Open Stream.