Imaging The Hepatitis C Virus Life Cycle In Real-time
Funder
National Health and Medical Research Council
Funding Amount
$477,504.00
Summary
Hepatitis C virus (HCV) is a serious viral pathogen that causes significant liver disease. This proposal plans to examine how two proteins from the HCV, core and NS5A, interact with host proteins and pathways to facilitate viral replication and release of HCV; two processes that are poorly understood. Specifically we will tag viral proteins to allow us to investigate the HCV life cycle in living cells and determine the role of core and NS5A in facilitating HCV replication. This proposal may unco ....Hepatitis C virus (HCV) is a serious viral pathogen that causes significant liver disease. This proposal plans to examine how two proteins from the HCV, core and NS5A, interact with host proteins and pathways to facilitate viral replication and release of HCV; two processes that are poorly understood. Specifically we will tag viral proteins to allow us to investigate the HCV life cycle in living cells and determine the role of core and NS5A in facilitating HCV replication. This proposal may uncover novel therapeutic strategies to combat HCV.Read moreRead less
The Clinical Significance Of Sex Hormone Crosstalk In Estrogen Receptor Positive Breast Cancer.
Funder
National Health and Medical Research Council
Funding Amount
$1,009,006.00
Summary
Breast cancer is mainly a disease in which the sex hormone estrogen stimulates uncontrolled growth. We have recently discovered that other sex hormones, including progesterone and androgen, can redirect the actions of estrogen in breast cancers to halt growth or make a tumour disappear. This study will examine the complex interaction between all three sex hormones to develop new, more effective strategies for treating breast cancer.
Characterisation Of Erusiolin - A New Peptide Hormone
Funder
National Health and Medical Research Council
Funding Amount
$547,202.00
Summary
Obesity and type II diabetes are epidemic diseases in Australia. Gut-derived hormones are key mediators in these diseases, due to their role in regulating appetite and blood glucose levels. Therapeutic modulation of these hormones also provides significant benefits for patients. In this proposal, we will determine the metabolic functions, such as appetite control, for a previously uncharacterised hormone, which is an unexplored therapeutic target for obesity and diabetes.
ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the ....ARC Communications Research Network. Building on a strong platform of existing research excellence, the Aim of the Network is to facilitate nation-wide collaborative research, promoting four intersecting research Themes: Mobile and Wireless Communications, Rural Communications, Broadband and Optical Networks, and Fundamentals of Emerging Media. Each Theme is formulated to drive multidisciplinary, innovative research as well as inspire new collaborative initiatives. Four Programs encapsulate the core activities of the Network: Researcher Mobility, Workshops and Conferences, Postgraduate Education, and Knowledge Management Systems. The Network is expected to add significant value to pre-existing investments and raise the profile of Australian telecommunications research.Read moreRead less
How The Lateral Habenula Integrates Behavioral And Autonomic Functions: The VTA Dopamine Connection
Funder
National Health and Medical Research Council
Funding Amount
$819,904.00
Summary
When adverse events occur, the lateral habenula, an old brain nucleus, helps calculate the wisest corrective action by contributing to the “brake” that controls the brain’s dopamine reward system. Our research will show how the lateral habenula links corrective changes in behavior with coordinated changes in temperature. Understanding this link will greatly contribute to understanding the brain mechanisms that regulate our physiology during stressful situations and as part of mental illness.
Discovery Early Career Researcher Award - Grant ID: DE120101161
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Compressive sensing based probabilistic graphical models (PGM). The aim of the project is to develop fast, large scale probabilistic graphical models (PGM) learning and inference methods. The resulting system will be able to process large scale PGMs on a standard PC, and will be easily extendable to computer clustering for larger scale PGMs requiring higher precision.
Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop ....Efficient causal discovery from observational data. Discovering cause-effect relationships is the ultimate goal for many applications. Randomised control trial is the gold standard for discovering causal relationships. However, conducting such trials is impossible in many cases due to cost and/or ethical concerns. In contrast, a large amount of data has been accumulated in all areas. It is desirable to infer causal relationships from data directly and automatically. This project aims to develop fast and scalable data mining methods for identifying causal relationships from large and/or high dimensional data sets. The developed methods will mainly be evaluated in real world biological applications. The research outcomes will be useful in many areas for causal reasoning and decision making.Read moreRead less
Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fa ....Fairness aware data mining for discrimination free decision-making. This project aims to develop data mining methods to detect algorithmic discriminations and to build fair decision models. It expects to provide techniques for regulatory organisations to detect discriminations in algorithmic decisions, and for various companies and organisations to build fair decision systems. Expected outcomes are novel and accurate methods for discrimination detection, practical and versatile techniques for fair decision model building, and improved understanding of the relationships between privacy preservation and discrimination prevention to enable new techniques to achieve both goals. The developed techniques enable society to tackle ethical challenges in the big data era where many decisions are analytics based. Read moreRead less
Developing novel data mining methods to reveal complex group relationships from heterogeneous data. This project aims to develop novel and effective data mining methods that will enable us to unravel the relationships between multiple, rather than individual, components of complex systems (such as genes, gene regulators and cancer), which is crucial to understanding how such systems work. Potential applications for such methods are extensive.