Complex dynamical systems: inferring form and function of interacting biological systems. Often in biology a large number of simple parts interacting according to simple rules can result in behaviour that is rich and varied. This project aims to develop the mathematics of complex systems theory to describe how such collections of simple interacting parts can form large complicated structures, and to deduce what dynamical behaviour can result.
Nanoengineered gradient substrata as a novel approach for understanding infection mechanisms. This project will advance our understanding of how bacteria colonise surfaces and will also inform the development of novel antibacterial coatings and diagnostic tools for device-associated infections, which have a significant impact on patients and are a huge burden to the healthcare system.
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
An interdisciplinary approach to host-pathogen interactions in infection. This project aims to understand the molecular and cellular interactions between host and parasite, as well as providing a quantitative framework for analysing infection dynamics in other systems. Infection involves a complex interaction between the host and the parasite, which is very dynamic and therefore difficult to study by traditional sampling and analysis approaches. This project has combined mathematical modelling w ....An interdisciplinary approach to host-pathogen interactions in infection. This project aims to understand the molecular and cellular interactions between host and parasite, as well as providing a quantitative framework for analysing infection dynamics in other systems. Infection involves a complex interaction between the host and the parasite, which is very dynamic and therefore difficult to study by traditional sampling and analysis approaches. This project has combined mathematical modelling with a novel experimental protocol to allow the study of kinetics of parasite replication in vivo. Expected outcomes will provide significant benefits, such as new avenues for vaccination and immune intervention.Read moreRead less
Rapid Pathogen Detection using Super-Sensitive Multiplexing Nanophotonic Probes. Responding to an urgent need to advance rapid molecular diagnostics, this project aims to explore new photonics and biochemistry approaches to DNA recognition. It is anchored on proprietary light-emitting nanodots which have single-molecule sensitivity in conjunction with tunable optical identities. The project aims to develop a multiplexing reagent library of DNA probes to sense trace DNA molecules and to recognise ....Rapid Pathogen Detection using Super-Sensitive Multiplexing Nanophotonic Probes. Responding to an urgent need to advance rapid molecular diagnostics, this project aims to explore new photonics and biochemistry approaches to DNA recognition. It is anchored on proprietary light-emitting nanodots which have single-molecule sensitivity in conjunction with tunable optical identities. The project aims to develop a multiplexing reagent library of DNA probes to sense trace DNA molecules and to recognise multiple pathogens in a single assay. This innovation aims to create a hybrid-Polymerase Chain Reaction (PCR) technology platform for current industry-standard pathogen detection tests. The outcomes of the project aim to enable DNA based pathogen diagnostics within 90 minutes, four times faster than the current tests.Read moreRead less
Multiscale models in immuno-epidemiology. The spread of a pathogen (for example, a virus or bacteria) through a population is a multi-scale phenomena, influenced by factors acting at both the population and within-host scales. At the population scale, transmission is influenced by how infectious an infected host is. Infectiousness in turn depends on the balance between pathogen replication within the host and immune/drug control mechanisms. This project aims to develop new mathematical framework ....Multiscale models in immuno-epidemiology. The spread of a pathogen (for example, a virus or bacteria) through a population is a multi-scale phenomena, influenced by factors acting at both the population and within-host scales. At the population scale, transmission is influenced by how infectious an infected host is. Infectiousness in turn depends on the balance between pathogen replication within the host and immune/drug control mechanisms. This project aims to develop new mathematical frameworks for simultaneously modelling these two scales. This will provide a platform for the rigorous study of complex biological interactions - such as the emergence and combat of drug-resistance - that shape society's ability to control infectious diseases in human, animal and plant systems.Read moreRead less
Chemical probes for the study of a unique enzyme from Mycobacterium tuberculosis. The design and chemical synthesis of molecules that selectively inhibit pathogen-specific enzymes is a validated approach toward new therapeutic agents. Mycobacterium tuberculosis contains a unique cytochrome P450 enzyme that catalyses an unusual chemical transformation to generate the product mycocyclosin. This research project will synthesise chemical probes to study the mechanism of this enzyme and the biologica ....Chemical probes for the study of a unique enzyme from Mycobacterium tuberculosis. The design and chemical synthesis of molecules that selectively inhibit pathogen-specific enzymes is a validated approach toward new therapeutic agents. Mycobacterium tuberculosis contains a unique cytochrome P450 enzyme that catalyses an unusual chemical transformation to generate the product mycocyclosin. This research project will synthesise chemical probes to study the mechanism of this enzyme and the biological role of mycocyclosin. Selective inhibitors of the enzyme will be developed, which will provide a foundation for the exploitation of these molecules in cellular research and medicine.Read moreRead less
Understanding the dynamics of malaria infection. Malaria infection kills around one million patients each year and this project involves an interdisciplinary team who will directly measure how the parasite grows and is killed by the immune system. A better understanding of parasite growth and control will help develop better drugs therapy and vaccination for this important infection.
Discovery Early Career Researcher Award - Grant ID: DE170100525
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Mucus control: Applying concepts from bacteriophage-mucus interactions. This project aims to examine how mucus-adherent bacteriophage interact with bacteria in mucus as a mechanism to manipulate microbiomes. Bacterial infections at mucosal surfaces in animals are a serious global health threat. Traditionally antibiotics have been used to curb mucosal infections, but antibiotic resistance means new therapies are urgently needed. Bacteriophage – viruses that infect bacteria – can kill bacteria and ....Mucus control: Applying concepts from bacteriophage-mucus interactions. This project aims to examine how mucus-adherent bacteriophage interact with bacteria in mucus as a mechanism to manipulate microbiomes. Bacterial infections at mucosal surfaces in animals are a serious global health threat. Traditionally antibiotics have been used to curb mucosal infections, but antibiotic resistance means new therapies are urgently needed. Bacteriophage – viruses that infect bacteria – can kill bacteria and might provide a layer of antimicrobial immunity in animal mucus. The anticipated outcomes are resolving how bacteriophage control bacteria within mucus, and applying concepts to bioengineer mucosal microbiomes.Read moreRead less