Decoding the brain network of memory formation. This project aims to uncover how the brain network supports the formation of long-lasting memory using cutting-edge imaging, intervention and computational modelling. The project is anticipated to generate new knowledge of the neural activity and circuitry that facilitate memory formation, and targets for modulating network activity and behaviour. This will have significant benefits for neuroscience, engineering and imaging, as well as future appli ....Decoding the brain network of memory formation. This project aims to uncover how the brain network supports the formation of long-lasting memory using cutting-edge imaging, intervention and computational modelling. The project is anticipated to generate new knowledge of the neural activity and circuitry that facilitate memory formation, and targets for modulating network activity and behaviour. This will have significant benefits for neuroscience, engineering and imaging, as well as future applications in humans with technology for detecting, predicting and modulating cognitive performance.Read moreRead less
Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to c ....Statistical Methods for Next Generation Genome-Wide Association Studies. This project aims to develop cutting-edge statistical methods to analyse large genomic datasets and identify genetic variants associated with inter-individual differences in various human traits. Knowledge of trait-associated DNA variants is instrumental in understanding how natural selection has shaped human traits. By integrating genomic data from diverse and underrepresented populations, this project further expects to contribute to the equitable use of genomic technologies in humans, regardless of geographical origins. Expected outcomes of this research include novel analysis methods and software tools, which should broadly and significantly benefit gene discovery in other species, including those of agricultural relevance.Read moreRead less
Understanding prokaryotic small proteins from context. Prokaryotic small proteins are increasingly recognised to play important biological roles but have been largely overlooked due to the lack of adequate tools to study them. This project aims to develop new methods to identify and predict the functions of small proteins from microbial communities by studying sequence patterns in their genomes. These predicted functions will be confirmed in the laboratory, leading to a catalogue of newly charac ....Understanding prokaryotic small proteins from context. Prokaryotic small proteins are increasingly recognised to play important biological roles but have been largely overlooked due to the lack of adequate tools to study them. This project aims to develop new methods to identify and predict the functions of small proteins from microbial communities by studying sequence patterns in their genomes. These predicted functions will be confirmed in the laboratory, leading to a catalogue of newly characterised small proteins from a diverse range of habitats and geographies. By creating new ways to study the role of small proteins in the global microbiome, we will provide the foundational knowledge required to leverage these proteins for use in biotechnology. Read moreRead less
Dynamic modelling of biomolecular systems: Going beyond classical empirical force fields. The ability to accurately model the structural and functional aspects of biomolecular systems at an atomic level is of fundamental importance in the pharmaceutical and biotechnological industries. By developing new approaches for treating dispersion terms and transition metals we aim to improve our understanding of critical biomolecular systems such as how novel anti-cancer metal complexes interact with DNA ....Dynamic modelling of biomolecular systems: Going beyond classical empirical force fields. The ability to accurately model the structural and functional aspects of biomolecular systems at an atomic level is of fundamental importance in the pharmaceutical and biotechnological industries. By developing new approaches for treating dispersion terms and transition metals we aim to improve our understanding of critical biomolecular systems such as how novel anti-cancer metal complexes interact with DNA and block transcription and the role various transition metals such as Cu(II) and Zn(II) stabilize the conformations of peptides involved in Alzheimer's disease. In addition by greatly expanding the range of systems that can be modeled efficiently the work will have widespread benefits in academic research as well as for industry.Read moreRead less
Uncovering The Neural Mechanisms Of Obsessive-compulsive Disorder Using Brain Modelling
Funder
National Health and Medical Research Council
Funding Amount
$581,628.00
Summary
Obsessive-compulsive disorder (OCD) is an incurable mental illness and current therapies only mitigate its symptoms for a portion of individuals. Thus, there is a need to identify the neural causes of OCD to develop personalised therapies. We will combine mathematical modelling, computer simulations, and clinical and neuroimaging data to develop the first model of OCD. Outcomes from this study will enable targeted OCD research and the discovery of brain mechanisms supporting treatment response.
Development of methodology for high throughput free energy calculations in drug design applications. The aim of the project is to develop a high throughput computational screening protocol for use in fragment-based drug design. The method will have universal applications to any plausible and available drug targets. The method will accelerate drug discovery on the targets associated with diabetes, obesity, dengue, skin cancer, etc., which are the primary disease focus of Australia. Australia as a ....Development of methodology for high throughput free energy calculations in drug design applications. The aim of the project is to develop a high throughput computational screening protocol for use in fragment-based drug design. The method will have universal applications to any plausible and available drug targets. The method will accelerate drug discovery on the targets associated with diabetes, obesity, dengue, skin cancer, etc., which are the primary disease focus of Australia. Australia as a whole and the University of Queensland in particular have invested heavily in various drug discovery programs, this will be of direct benefit to the ongoing research within Australia.Read moreRead less
New Methods in the Theory and Computational Modelling of Unimolecular and Complex-Forming Bimolecular Reactions. This project will develop new theory and computational methods for the prediction of chemical reaction rates with massively increased efficiency. Complex reactions occurring in combustion which are surprisingly common, but have previously been only poorly understood. The project will make possible the application of detailed statistical and quantum dynamical theories to such complex r ....New Methods in the Theory and Computational Modelling of Unimolecular and Complex-Forming Bimolecular Reactions. This project will develop new theory and computational methods for the prediction of chemical reaction rates with massively increased efficiency. Complex reactions occurring in combustion which are surprisingly common, but have previously been only poorly understood. The project will make possible the application of detailed statistical and quantum dynamical theories to such complex reactions in order to improve the quality of chemical data which is used for modelling atmospheric change and pollution.
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To identify and to understand highly reactive surfaces for solar hydrogen production. This project aims to develop advanced technology to produce hydrogen - carbon-free fuel - from water with sunlight as the only energy input. Using clean energy to replace fossil fuels can help address the issues of energy supply and reduce carbon emissions, which is critically important for a sustainable Australia.
Centre For Research Excellence In Speech And Language Neurobiology (CRE-SLANG)
Funder
National Health and Medical Research Council
Funding Amount
$2,491,340.00
Summary
Half a million Australian children have a speech/language disorder, tripling their changes of poor academic outcomes, limited employment options and social isolation. Current speech therapy is limited, focusing on symptoms and ignoring evidence on underlying aetiologies. By identifying and translating findings on new genes and brain pathways leading to speech and language disorders, we will transform detection, diagnosis, prognosis and genetic counselling of affected children and their families.