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Found 17 matching student topics

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Estimating the evolutionary history of plasmids and viruses

In the case of cellular life - bacteria, archaea and eukaryotes - determining the 'tree of life' is a comparatively well-studied problem.This vertical evolutionary history can be estimated using concatenated gene phylogenies, where single copy marker genes are concatenated into a single multiple sequence alignment which is then used in a phylogenetic tree reconstruction algorithm.Viral genomes and plasmid sequences, meanwhile, are more challenging to fit into a phylogenetic framework.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Investigation of genetic factors that contribute to concussion and its outcomes

The health outcomes from traumatic brain injuries (TBIs) and concussion depend on the nature of the injury, but response also varies greatly between individuals, suggesting that genetic factors may play a role. In particular, due to effects of head trauma on balances of ions, neurotransmitters and energy use in the brain, there is suggestion that variation in the genes that encode proteins involved in these pathways, e.g. ion channels, may affect the risk of, as well as response to a …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences

Molecular modelling of GAG-protein interactions

Glycosaminoglycans (GAGs), also known as mucopolysaccharides, are negatively-charged polysaccharide compounds. They are a key constituent of the extracellular matrix and act as a filler substance between cells and fibres in tissues. These molecules also play a role in several viral infections, in which they enhance cell entry and release of the viruses.Interest continues to grow in understanding the precise nature of the interactions between GAGs and their binding partners and in defining specific biologically active sequences or arrangements of domains.Existing …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

Molecular modelling and simulations of anionic molecules

Biomolecular recognition refers to the interaction between a macromolecule (usually a protein or a nucleic acid) and a target molecule. Most often obtaining 3D experimental data is not trivial at atomistic scale. Computational methods offer the possibility of precisely describing all types of ligand–macromolecule interactions and are therefore a promising avenue to obtain that information, to test or discard a large variety of hypotheses regarding molecular recognition, folding of proteins/peptides and/or to select, among the vast chemical space of potential …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

Applications of bioinformatics and statistical modelling in genomics and personalised health

Prostate cancer is one of the leading causes of mortality and is the most diagnosed cancer among men in Australia. The identification of novel biomarkers in prostate cancer could be valuable in the design of therapeutics and the identification of their molecular targets. Previous prostate cancer bioinformatic studies have recognised risk-associated genetic components as potential biomarkers.This project will apply statistical and mathematical approaches to identify novel biomarkers in prostate cancer.

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Genomics and Personalised Health

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