The molecular basis for efficacy at G protein coupled receptors. This project aims to investigate the molecular steps underlying the relationship between sensing by signal-transmitting proteins on the cell surface called G protein-coupled receptors and cellular response. The project aims to build on studies that have sought to understand the primary, molecular basis for this cellular volume control. This project seeks to use these novel approaches to fill this knowledge gap, providing a deeper u ....The molecular basis for efficacy at G protein coupled receptors. This project aims to investigate the molecular steps underlying the relationship between sensing by signal-transmitting proteins on the cell surface called G protein-coupled receptors and cellular response. The project aims to build on studies that have sought to understand the primary, molecular basis for this cellular volume control. This project seeks to use these novel approaches to fill this knowledge gap, providing a deeper understanding of how physiology and medicines work. The project expects to expand fundamental understanding of signal transmission at this receptor class. This project will deliver benefits including expanded basic knowledge and a contribution to future improvements in drug development.Read moreRead less
Metabolite regulation of mitochondrial fission. This project aims to understand how the function and health of mitochondria – the energy producing structures in cells - are controlled by fat molecules. The project expects to integrate cutting edge techniques and instrumentation to generate new knowledge of how fat molecules interact with, and influence, enzymes that control how cells maintain their mitochondria in response to nutrient state. An anticipated goal is to define a fingerprint for enz ....Metabolite regulation of mitochondrial fission. This project aims to understand how the function and health of mitochondria – the energy producing structures in cells - are controlled by fat molecules. The project expects to integrate cutting edge techniques and instrumentation to generate new knowledge of how fat molecules interact with, and influence, enzymes that control how cells maintain their mitochondria in response to nutrient state. An anticipated goal is to define a fingerprint for enzymes regulated by fat molecules that will be of great interest to researchers across many branches of life sciences. Expected outcomes and benefits will be deeper understanding of fat molecules as nutrient signalling metabolites, and how they influence cell metabolism, growth and development.Read moreRead less
Uncovering New Mechanisms of Metabolite-Sensing and Signaling. This project aims to understand how cells sense changes in metabolic activity, to ensure energy demands are matched with nutrient supply. Our proposal will fill critical gaps in our understanding of the molecular mechanisms underlying metabolic sensing. This will generate new knowledge with far reaching potential for Australian industries that rely on the propagation and utilization of living organisms, including agriculture, biotech ....Uncovering New Mechanisms of Metabolite-Sensing and Signaling. This project aims to understand how cells sense changes in metabolic activity, to ensure energy demands are matched with nutrient supply. Our proposal will fill critical gaps in our understanding of the molecular mechanisms underlying metabolic sensing. This will generate new knowledge with far reaching potential for Australian industries that rely on the propagation and utilization of living organisms, including agriculture, biotechnology and brewing, as well as knowledge relevant to sporting performance and the metabolic dimensions of ageing. This project will support advanced training of early career researchers and PhD students, which will expand Australian research capabilities and contribute to a producing a highly skilled workforce.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less