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Field of Research : Applied Mathematics
Australian State/Territory : NSW
Research Topic : Biophysics
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  • Funded Activity

    Federation Fellowships - Grant ID: FF0561735

    Funder
    Australian Research Council
    Funding Amount
    $1,898,611.00
    Summary
    Multiscale modelling: Applications to the Biomedical Sciences. 1) Significant reductions in the costs of developing pharmaceutical treatments, 2) Substantial reduction in hospitalisation costs, 3) Improved treatment of wounds, a significant cause of chronic ill-health which presently costs the Australian HealthCare System A$500,000,000/year.
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    Funded Activity

    Discovery Projects - Grant ID: DP0665482

    Funder
    Australian Research Council
    Funding Amount
    $291,000.00
    Summary
    Mathematical measurement and modelling of neuronal degeneration. Currently about 150,000 Australian's suffer from cognitive impairment due to Alzheimer's disease or dementia and this number is expected to double over the next few decades. By combining newly developed mathematical methods in complex systems with sophisticated neural imaging we will develop new techniques to advance the diagnosis and treatment of cognitive decline in normal ageing and neurodegenerative disease. This project will .... Mathematical measurement and modelling of neuronal degeneration. Currently about 150,000 Australian's suffer from cognitive impairment due to Alzheimer's disease or dementia and this number is expected to double over the next few decades. By combining newly developed mathematical methods in complex systems with sophisticated neural imaging we will develop new techniques to advance the diagnosis and treatment of cognitive decline in normal ageing and neurodegenerative disease. This project will also maintain the collaborative link between researchers in Biomathematics at Mount Sinai School of Medicine, New York and researchers in Applied Mathematics at UNSW that enables training of Australian scientists in the vital area of mathematical bio-complexity.
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    Funded Activity

    Special Research Initiatives - Grant ID: SR0354592

    Funder
    Australian Research Council
    Funding Amount
    $20,000.00
    Summary
    Mathematical Biosciences Network. The network's aim is to stimulate the transfer of ideas, scientific insights, models and computational methods across the interface of mathematics and biology. Collaborative effort and training will occur to push forward the frontiers of biology and mathematics related to the fundamental problems of life, including how embryos develop, how diseases can be controlled, and how to describe and predict intra- and inter-cellular processes. A major theme of the netwo .... Mathematical Biosciences Network. The network's aim is to stimulate the transfer of ideas, scientific insights, models and computational methods across the interface of mathematics and biology. Collaborative effort and training will occur to push forward the frontiers of biology and mathematics related to the fundamental problems of life, including how embryos develop, how diseases can be controlled, and how to describe and predict intra- and inter-cellular processes. A major theme of the network is the transfer of information through an e-science grid allowing direct access to experimental data and model simulations.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190101758

    Funder
    Australian Research Council
    Funding Amount
    $409,000.00
    Summary
    Sinusoidal voltage protocols for characterisation of ion channel kinetics. This project aims to implement an innovative approach to modelling ion channel behaviour that employs short, information-rich datasets and parameter inference. Using the hERG potassium channel as a test case, the project will show that this approach is more efficient than current methods and outperforms all published models in independent validations. The project aims to extend on initial implementation to probe the therm .... Sinusoidal voltage protocols for characterisation of ion channel kinetics. This project aims to implement an innovative approach to modelling ion channel behaviour that employs short, information-rich datasets and parameter inference. Using the hERG potassium channel as a test case, the project will show that this approach is more efficient than current methods and outperforms all published models in independent validations. The project aims to extend on initial implementation to probe the thermodynamics and pharmacology of ion channel gating. The anticipated outcomes are to grow fundamental knowledge of ion channel biophysics and ability to probe ion channel function in silico. The project will build on an emerging collaboration between international leaders in physiology, pharmacology, mathematics and computer modelling. The methodology and fundamental knowledge generated will significantly advance our understanding of the physiology and biophysics of ion channels, while the application of the method will have direct impact in the pharmaceutical industry and regulatory science.
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