Enantioselective nitrilases from filamentous fungi. The optical characteristics (chirality) of chemical precursors are important for many fine chemicals. Chiral intermediates are in high demand by the pharmaceutical and agrochemical industries for the preparation of bulk drug intermediates and agricultural products. Nitriles are attractive starting points but their conversion to corresponding amides and carboxylic acids generates significant wastes. Their hydrolysis can be performed under mil ....Enantioselective nitrilases from filamentous fungi. The optical characteristics (chirality) of chemical precursors are important for many fine chemicals. Chiral intermediates are in high demand by the pharmaceutical and agrochemical industries for the preparation of bulk drug intermediates and agricultural products. Nitriles are attractive starting points but their conversion to corresponding amides and carboxylic acids generates significant wastes. Their hydrolysis can be performed under mild conditions by enzymes termed nitrilases. We will work on fungal nitrilases as they present a globally attractive, yet untapped commercial target. The outcome for Applimex will be a suite of biocatalysts specific for the production of key intermediates for drug and agrochemical syntheses.Read moreRead less
Genetic modification and lyophilisation of microorganisms for the generation of bacteriological internal quality controls. The development of internal quality control micro-organisms in precise numbers is necessary for the evolution of standard methodology in microbiology, which until now, remains obsolete, because it relies on inaccurate methods to produce quantitative and qualitative results. The research described here is largely based on molecular techniques to genetically tag micro-organism ....Genetic modification and lyophilisation of microorganisms for the generation of bacteriological internal quality controls. The development of internal quality control micro-organisms in precise numbers is necessary for the evolution of standard methodology in microbiology, which until now, remains obsolete, because it relies on inaccurate methods to produce quantitative and qualitative results. The research described here is largely based on molecular techniques to genetically tag micro-organisms with fluorescent proteins and pigment producing enzymes, and on the manipulation of growth and storage conditions to maximize the survival of micro-organisms during lyophilisation. Successful completion and application of the proposed project through existing patents owned by BTF, will revolutionise the way microbiological tests are performed worldwide.Read moreRead less
Engineering of anti-platelet antibodies for the diagnosis and therapy of infants with bleeding disorders. Foeto-maternal alloimmune thrombocytopenia (FMAIT) is a serious clinical condition where infants suffer potentially fatal bleeding disorders from 14 weeks gestation to 1-2 weeks post delivery. The cause of the disease is through maternal antibodies destroying foetal platelets. Our aim is to produce human antibodies, which will be used as diagnostic agents to screen for the condition in preg ....Engineering of anti-platelet antibodies for the diagnosis and therapy of infants with bleeding disorders. Foeto-maternal alloimmune thrombocytopenia (FMAIT) is a serious clinical condition where infants suffer potentially fatal bleeding disorders from 14 weeks gestation to 1-2 weeks post delivery. The cause of the disease is through maternal antibodies destroying foetal platelets. Our aim is to produce human antibodies, which will be used as diagnostic agents to screen for the condition in pregnant women, and to further develop such antibodies for therapy. Identification of mothers at risk of FMAIT and the development of a specific therapy are vital to the management and prevention of this serious condition.Read moreRead less
A sustainable cellular factory for the production of antibiotics by photosynthetic bacteria. The range and rate of natural product discovery is the limiting factor in developing new pharmaceuticals. Traditional methods for the screening of these compounds or for their chemical synthesis are rapidly becoming inadequate as an increasing number of specific therapies, for cancers and infectious diseases for instance, are required. The research proposed will enable the design and production of "unnat ....A sustainable cellular factory for the production of antibiotics by photosynthetic bacteria. The range and rate of natural product discovery is the limiting factor in developing new pharmaceuticals. Traditional methods for the screening of these compounds or for their chemical synthesis are rapidly becoming inadequate as an increasing number of specific therapies, for cancers and infectious diseases for instance, are required. The research proposed will enable the design and production of "unnatural" products, including novel antibiotics, via combinatorial biosynthesis in photosynthetic microorgansims. The outcomes include graduate student training and Australian innovation in an enormous global market that is awaiting the next generation of medicines and associated pharmaceutical production technologies.Read moreRead less
Improving the sustainability of Australia's water resources: an effective approach for diagnosing and treating foulants on water recycling membrane filters. By determining ways to diagnose and treat fouling problems we will have effectively solved a critical problem in the water recycling industry. By creating more efficient and sustainable ways of using water, we will transform the effectiveness of a wealth of Australian industries that increasingly rely on the efficient use of water (e.g. mini ....Improving the sustainability of Australia's water resources: an effective approach for diagnosing and treating foulants on water recycling membrane filters. By determining ways to diagnose and treat fouling problems we will have effectively solved a critical problem in the water recycling industry. By creating more efficient and sustainable ways of using water, we will transform the effectiveness of a wealth of Australian industries that increasingly rely on the efficient use of water (e.g. mining, agriculture, textiles, energy). By reducing the demand for water (by effectively recycling it), and the energy requirements (by efficiently recycling it), we will increase national wealth and provide significant social and environmental benefits to all Australians.Read moreRead less
Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Data Management Technologies for the Magnetic Resonance Imaging e-Research Grid. Howard Florey Institute researchers will collaborate with SGI's file-systems engineering team. Substantial benefits are expected from the development of techniques to support centralized and distributed processing medical image datasets. Issues requiring research include file space allocation algorithms and caching strategies. The proposed rapid database access technologies aim at solving these problems in the medic ....Data Management Technologies for the Magnetic Resonance Imaging e-Research Grid. Howard Florey Institute researchers will collaborate with SGI's file-systems engineering team. Substantial benefits are expected from the development of techniques to support centralized and distributed processing medical image datasets. Issues requiring research include file space allocation algorithms and caching strategies. The proposed rapid database access technologies aim at solving these problems in the medical imaging research context. The project attempts to 'improve data management for existing and new business applications'. This enhanced sharing of information will improve critical mass therefore fostering national and international collaboration. Read moreRead less
Achieving higher availability of storage subsystems through application of a self learning expert system. In todays global business environment the management, storage and security of enterprise data (data unavailability, data loss and corruption, systems performance) has become the heart of so-called Enterprise computing. The storage subsystems increasingly have become the critical subcomponent and single point of failure. Discovering the cause of failure in complex environments involving mul ....Achieving higher availability of storage subsystems through application of a self learning expert system. In todays global business environment the management, storage and security of enterprise data (data unavailability, data loss and corruption, systems performance) has become the heart of so-called Enterprise computing. The storage subsystems increasingly have become the critical subcomponent and single point of failure. Discovering the cause of failure in complex environments involving multiple vendors, machines, software products, topologies and cultures (languages) is in many cases time consuming and difficult resulting in unacceptable systems downtime and high maintenance costs. A more sophisticated tool is needed allowing the accumulation of knowledge, the ability to deal with complexity and change, the ability to interface with unlike knowledge bases and predict solution probability based on experience and feedback. Multi-lingual support and capability through the development of a Natural Language interface would provide a functional capability suited to managing enterprise data in todays global businesses.Read moreRead less
Integrating deep-earth and surface processes for frontier-basin exploration. It is well-known that mantle convection has a profound influence on basin evolution, and the next step will be to quantify this relationship and provide the science that will make these concepts applicable to exploration. To do this, we will develop a workflow to link plate-reconstruction software with the mantle convection modelling to link plate motions mantle convection and the history of sedimentation systematically ....Integrating deep-earth and surface processes for frontier-basin exploration. It is well-known that mantle convection has a profound influence on basin evolution, and the next step will be to quantify this relationship and provide the science that will make these concepts applicable to exploration. To do this, we will develop a workflow to link plate-reconstruction software with the mantle convection modelling to link plate motions mantle convection and the history of sedimentation systematically for the first time for frontier basin-scale applications. We will apply these emerging technologies to the evolution of basins in the Arctic borderlands frontier for resource exploration and on the Australian continent.Read moreRead less
Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are a ....Classification and Prediction Modelling for Financial Distress, Tax Debt and Insolvency for ATO Clients. The Australian Taxation Office (ATO) has clients who are not able to meet their taxation debts, resulting in revenue shortfalls for both the State and Federal Governments. Through this project, we will develop predictive models and techniques which identify client classes and clusters in the ATO client population and the defining attributes of these collections - especially those which are at high risk of incurring debt and defaulting on paying taxes. In turn, the early identification of clients in financial distress will allow the ATO to give them assistance so that they can reduce their debts and meet their financial obligations.Read moreRead less