Translating pharmacokinetic and pharmacodynamic data to better design new drugs for the treatment of Trypanosoma cruzi infection. New drugs to treat T. cruzi infection are urgently needed, however their design has been hampered by an incomplete understanding of complex host-parasite interactions, inadequate in vitro and in vivo tools to rigorously define activity during drug discovery, and a poor appreciation of concentration/effect relationships. This project aims to develop new and much needed ....Translating pharmacokinetic and pharmacodynamic data to better design new drugs for the treatment of Trypanosoma cruzi infection. New drugs to treat T. cruzi infection are urgently needed, however their design has been hampered by an incomplete understanding of complex host-parasite interactions, inadequate in vitro and in vivo tools to rigorously define activity during drug discovery, and a poor appreciation of concentration/effect relationships. This project aims to develop new and much needed in vitro methods to better define the kinetic and dynamic activity of new drug candidates, and will provide a rational basis for translating this information into lengthy animal models of T. cruzi infection. The outcome aims to be rationally designed drug candidates that are available in a shorter period of time and are suitable for further development.Read moreRead less
Screening platforms for malaria drug discovery: identification of new therapeutics. Innovative image based technologies will be developed to identify molecules which stop malaria parasite growth and its transmission to the mosquito host. As more resistance is emerging against the current drugs of choice, new molecules acting through different mechanisms are urgently needed.
Discovery Early Career Researcher Award - Grant ID: DE120103084
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Targeting bacterial superbugs: novel approaches for optimisation of antibiotic combinations and resistance prevention. This project will elucidate the mechanistic basis to optimally combine available beta-lactam antibiotics to prevent resistance of gram-negative 'superbugs'. The interdisciplinary project will substantially contribute to solving the global crisis due to multidrug-resistant bacteria and inform the design of effective new antibiotics.
Targeting an impending global disaster: the mismatch between increasingly drug-resistant superbugs and development of new antibiotics. This project will develop much-needed novel antibiotics for treating infections caused by bacteria that are resistant to all current antibiotics. It will make a significant contribution to the global medical challenge of a shortage of new antibiotics.
Rational design of new drug candidates for the treatment of Trypanosoma cruzi infection. There is a serious shortage of safe and effective drugs to treat Chagas disease which is caused by a parasitic infection. This project aims to design and identify new drug candidates by defining the disposition profile within the body which is necessary to achieve a therapeutic effect.
Treating tuberculosis: targeted delivery of multidrug nano-suspensions. Tuberculosis (TB) is a lung disease of worldwide prevalence. Treatment times are long and mortality is high in children and the elderly. Current treatments are ineffective and drug resistant TB is a real pandemic threat. The project will develop a cost-effective nano-particle system that can be incorporated into conventional nebulisers for use worldwide.
Cellular and molecular networks controlling protective immunity. This research aims to understand how a handful of master-regulator genes act to program immune cells required for immune responses to microbes, vaccination and to prevent cancer. It will provide a fundamental advance in our understanding of immune cell development and impact strategies aimed at the prevention and treatment of pathogen infections.
Mathematical and statistical methods for modelling invivo pathogen dynamics. This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection. When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will im ....Mathematical and statistical methods for modelling invivo pathogen dynamics. This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection. When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will improve biomathematics and biostatistical algorithms for pathogen dynamics and is ultimately expected to benefit public health and clinical research aimed at alleviating the effect of infectious diseases on human health.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100785
Funder
Australian Research Council
Funding Amount
$345,491.00
Summary
Mathematical and statistical modelling of antimalarial drug action. This project aims to develop a mathematical model to optimise global antimalarial treatment policy. Malaria-causing parasites are resistant to the most potent antimalarial drug available. If left unaddressed, a catastrophic rise in global malaria incidence and mortality could occur. Changes to global antimalarial treatment policy increasingly rely on mathematical models, but they do not encompass recent breakthroughs in antimala ....Mathematical and statistical modelling of antimalarial drug action. This project aims to develop a mathematical model to optimise global antimalarial treatment policy. Malaria-causing parasites are resistant to the most potent antimalarial drug available. If left unaddressed, a catastrophic rise in global malaria incidence and mortality could occur. Changes to global antimalarial treatment policy increasingly rely on mathematical models, but they do not encompass recent breakthroughs in antimalarial drug action and the immune response. This project’s model is expected to improve antimalarial drug dosing regimens and control the spread of antimalarial drug resistance.Read moreRead less
High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less