Engineering an artificial protein molecular motor. This project aims to use non-motor protein building blocks to construct an artificial protein motor. Nature already uses nanotechnology as the basis for all its machinery, and uses proteins to construct machines. Each protein component in the motor will have a well-understood function; this artificial protein will elucidate how it converts chemical energy to motion. This process is not understood as molecular motors do not obey the same principl ....Engineering an artificial protein molecular motor. This project aims to use non-motor protein building blocks to construct an artificial protein motor. Nature already uses nanotechnology as the basis for all its machinery, and uses proteins to construct machines. Each protein component in the motor will have a well-understood function; this artificial protein will elucidate how it converts chemical energy to motion. This process is not understood as molecular motors do not obey the same principles as macroscopic machines. Comparing the artificial motor with biological motors will provide insight into the workings of natural motors. This project should lead to molecular motors for nanobiotechnology.Read moreRead less
Magnetofection In An Oscillating Magnetic Field. The success of genetic engineering is largely dependent on the ability of transfection agents to deliver genes. Low transfection efficiency is now widely recognised as a critical bottleneck to successful gene delivery. The recent emphasis on the development of nanoscale delivery agents has led to new physics and chemistry-based techniques, which take advantage of charge interactions and energetic processes. This multidisciplinary project aims to a ....Magnetofection In An Oscillating Magnetic Field. The success of genetic engineering is largely dependent on the ability of transfection agents to deliver genes. Low transfection efficiency is now widely recognised as a critical bottleneck to successful gene delivery. The recent emphasis on the development of nanoscale delivery agents has led to new physics and chemistry-based techniques, which take advantage of charge interactions and energetic processes. This multidisciplinary project aims to address this highly significant problem by developing a novel methodology to manipulate nanoparticles under the influence of an oscillating magnetic field to achieve high transfection efficiencies in a highly relevant model of epigenetic reprogramming.Read moreRead less
Understanding the properties of layered nanostructures using in-situ TEM. This project aims to support the practical applications of layered nanostructure-based devices and systems. The development of layered chalcogenide nanostructures is a global research focus due to their potential applications in the energy sector. However, their structure–property link is unclear due to the lack of direct correlation between their structure and properties. This project aims to establish the intrinsic struc ....Understanding the properties of layered nanostructures using in-situ TEM. This project aims to support the practical applications of layered nanostructure-based devices and systems. The development of layered chalcogenide nanostructures is a global research focus due to their potential applications in the energy sector. However, their structure–property link is unclear due to the lack of direct correlation between their structure and properties. This project aims to establish the intrinsic structure–property link by closely correlating the structure (and structural variations) and properties (and varied properties) simultaneously determined from individual nanostructures inside a transmission electron microscope. Expected project outcomes may advance the knowledge base, and provide guidelines for the development of nanostructure-based devices for their high-performance applications, especially in the energy sector.Read moreRead less
Multifunctional particles for biological applications. This project aims to engineer multifunctional particles, examine their biological interactions and create particles for cell targeting, cell internalisation, subcellular drug release and improved pharmacokinetics. Engineered particles are important for drug delivery in nanomedicine. Although various particle-based delivery systems have been developed, few have been commercialised, largely because of problems challenges associated with biolog ....Multifunctional particles for biological applications. This project aims to engineer multifunctional particles, examine their biological interactions and create particles for cell targeting, cell internalisation, subcellular drug release and improved pharmacokinetics. Engineered particles are important for drug delivery in nanomedicine. Although various particle-based delivery systems have been developed, few have been commercialised, largely because of problems challenges associated with biological barriers. This project will develop a platform for the assemble of particles with tailored properties which are expected to provide insights on particle-biological interactions for particle-based therapeutic delivery.Read moreRead less
Protein structure prediction by deep long-range learning. This project aims to address the challenging problem of protein structure prediction by developing deep long-range learning methods. The project expects to advance protein structure prediction by capturing the long-range interactions through whole sequence learning, rather than short window-based learning. Expected outcomes include next-generation machine-learning techniques for predicting one, two and three-dimensional protein structures ....Protein structure prediction by deep long-range learning. This project aims to address the challenging problem of protein structure prediction by developing deep long-range learning methods. The project expects to advance protein structure prediction by capturing the long-range interactions through whole sequence learning, rather than short window-based learning. Expected outcomes include next-generation machine-learning techniques for predicting one, two and three-dimensional protein structures from their sequences. The expected outcomes should provide significant benefits by computationally determining protein structures beyond homologous sequences, and enabling structure-based drug discovery to disease-causing protein targets previously inaccessible to biotech and pharmaceutical companies.Read moreRead less
Establishing nanoscale design principles for non-viral genome engineering. This project aims to develop a bio-nanotechnology platform for non-viral genome engineering using dendronised polymers. The project will advance both fundamental and practical knowledge at the forefront of nanotechnology and cell biology, whilst providing training to the research community. Outcomes from the project will also provide significant benefits, such as positioning Australia at the forefront of genome engineerin ....Establishing nanoscale design principles for non-viral genome engineering. This project aims to develop a bio-nanotechnology platform for non-viral genome engineering using dendronised polymers. The project will advance both fundamental and practical knowledge at the forefront of nanotechnology and cell biology, whilst providing training to the research community. Outcomes from the project will also provide significant benefits, such as positioning Australia at the forefront of genome engineering.Read moreRead less
Capturing full-spectrum of solar energy using TiO2 ordered suprastructures. The project aims to develop a titanium dioxide (TiO2) semiconductor that can use full-spectrum solar energy. Solar-driven photocatalytic processes have important applications in water decontamination and energy production. Their effectiveness is dictated by the semiconductor’s absorbance and conversion of photoenergy to chemical energy. Being inexpensive, chemically and mechanically robust, TiO2 is the most promising mat ....Capturing full-spectrum of solar energy using TiO2 ordered suprastructures. The project aims to develop a titanium dioxide (TiO2) semiconductor that can use full-spectrum solar energy. Solar-driven photocatalytic processes have important applications in water decontamination and energy production. Their effectiveness is dictated by the semiconductor’s absorbance and conversion of photoenergy to chemical energy. Being inexpensive, chemically and mechanically robust, TiO2 is the most promising material for the semiconductor. However, unmodified TiO2 only absorbs ultraviolet light (5 per cent of solar energy). With current progress made in visible absorbance, this project aims to significantly improve TiO2’s absorbance in near infrared by doping with upconversion lanthanides and rendering colloidal crystal suprastructures that can trap light.Read moreRead less
It’s a fine line: analytical and experimental optimisation of drawing metal-in-dielectric nanowire composites to manufacture engineered metamaterials. Exploitation of ‘smart materials’ is a major opportunity for 21st century Australian manufacturing if cost effective bulk production is available. Metamaterials are ideal building blocks for such new-age materials, being dielectric/metal composites structured on sub-wavelength dimensions, offering diverse properties unavailable in natural material ....It’s a fine line: analytical and experimental optimisation of drawing metal-in-dielectric nanowire composites to manufacture engineered metamaterials. Exploitation of ‘smart materials’ is a major opportunity for 21st century Australian manufacturing if cost effective bulk production is available. Metamaterials are ideal building blocks for such new-age materials, being dielectric/metal composites structured on sub-wavelength dimensions, offering diverse properties unavailable in natural materials. Fibre drawing is a proven mass-production technology for translating the structure of a (macroscale) preform to microscale and has recently been applied it to fabricate microscale metamaterials. By overcoming fundamental instabilities, this project will transform the technique to manufacture nanoscale structured composites and demonstrate practical metamaterial-based optical devices with unique properties.Read moreRead less
Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will re ....Engineering floating liquid marbles for three-dimensional cell cultures. This project aims to understand the physics of three-dimensional cell cultures in a liquid marble floating on a liquid free surface. New methodology developed can produce these cell cultures without using matrices or scaffolds and with run-times well beyond existing technologies. This methodology closely mimics a normal in-vivo environment and produces spheroids needed in cell transplantation therapies. This project will resolve uncertainties in the underlying phenomena. The expected outcome should support future high quality cell cultures suitable for transplantation therapies.Read moreRead less
New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges. Bayesian statistics is a fundamental statistical and machine learning approach for density estimation, data analysis and inference. However, there remain open questions regarding the formulation of the model, the likelihood and priors, and efficient computation. This project proposes new approaches that address these issues, and applies them to two exemplar challenges: the impact of climate ch ....New Directions in Bayesian Statistics: formulation, computation and application to exemplar challenges. Bayesian statistics is a fundamental statistical and machine learning approach for density estimation, data analysis and inference. However, there remain open questions regarding the formulation of the model, the likelihood and priors, and efficient computation. This project proposes new approaches that address these issues, and applies them to two exemplar challenges: the impact of climate change on the Great Barrier Reef and better understanding neurological diseases related aging, in particular Parkinson's Disease. Read moreRead less