Classification of Microarray Gene-Expression Data. The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of ....Classification of Microarray Gene-Expression Data. The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of the methodology to be developed is to expedite the discovery of new subclasses of diseases. Another is to provide prediction rules for the diagnosis and treatment of diseases.Read moreRead less
Applications of Bayesian methods in Genomics and Comparative Genomics. Bayesian statistics provides a unified and versatile approach to problems of data analysis, inference and hypothesis testing. This project will involve the application of Bayesian methods to four topics of commercial and scientific importance in the fields of Genomics and Comparative Genomics. The four topics are: data analysis for a novel DNA sequencing technology, investigating genomic structure using multiple change-point ....Applications of Bayesian methods in Genomics and Comparative Genomics. Bayesian statistics provides a unified and versatile approach to problems of data analysis, inference and hypothesis testing. This project will involve the application of Bayesian methods to four topics of commercial and scientific importance in the fields of Genomics and Comparative Genomics. The four topics are: data analysis for a novel DNA sequencing technology, investigating genomic structure using multiple change-point analysis, phlogenetic inference with multiple genes and detection of incongruent phylogenies. The overall goal of the project is to advance understanding of the structure, function and evolution of genomes.Read moreRead less
Dynamic modelling of biomolecular systems: Going beyond classical empirical force fields. The ability to accurately model the structural and functional aspects of biomolecular systems at an atomic level is of fundamental importance in the pharmaceutical and biotechnological industries. By developing new approaches for treating dispersion terms and transition metals we aim to improve our understanding of critical biomolecular systems such as how novel anti-cancer metal complexes interact with DNA ....Dynamic modelling of biomolecular systems: Going beyond classical empirical force fields. The ability to accurately model the structural and functional aspects of biomolecular systems at an atomic level is of fundamental importance in the pharmaceutical and biotechnological industries. By developing new approaches for treating dispersion terms and transition metals we aim to improve our understanding of critical biomolecular systems such as how novel anti-cancer metal complexes interact with DNA and block transcription and the role various transition metals such as Cu(II) and Zn(II) stabilize the conformations of peptides involved in Alzheimer's disease. In addition by greatly expanding the range of systems that can be modeled efficiently the work will have widespread benefits in academic research as well as for industry.Read moreRead less
Development of methodology for high throughput free energy calculations in drug design applications. The aim of the project is to develop a high throughput computational screening protocol for use in fragment-based drug design. The method will have universal applications to any plausible and available drug targets. The method will accelerate drug discovery on the targets associated with diabetes, obesity, dengue, skin cancer, etc., which are the primary disease focus of Australia. Australia as a ....Development of methodology for high throughput free energy calculations in drug design applications. The aim of the project is to develop a high throughput computational screening protocol for use in fragment-based drug design. The method will have universal applications to any plausible and available drug targets. The method will accelerate drug discovery on the targets associated with diabetes, obesity, dengue, skin cancer, etc., which are the primary disease focus of Australia. Australia as a whole and the University of Queensland in particular have invested heavily in various drug discovery programs, this will be of direct benefit to the ongoing research within Australia.Read moreRead less
Statistical methods for detection of non-coding RNAs in eukaryote genomes. Understanding how eukaryotic cells work is a major goal of 21st century biology. A crucial step will be to catalogue the functional components of eukaryotic genomes. Australian researchers must be involved in this process at an early stage, in order to maximise commercial opportunities, attract quality researchers and position ourselves for further advances. This project will make major contributions to international effo ....Statistical methods for detection of non-coding RNAs in eukaryote genomes. Understanding how eukaryotic cells work is a major goal of 21st century biology. A crucial step will be to catalogue the functional components of eukaryotic genomes. Australian researchers must be involved in this process at an early stage, in order to maximise commercial opportunities, attract quality researchers and position ourselves for further advances. This project will make major contributions to international efforts in this area, via the development of statistical methods for segmenting genomes, classification of those segments, and study of the resulting classes. In the long term, enhanced understanding of eukaryotic cells will lead to breakthroughs in biology, and to medical, pharmaceutical, agricultural and scientific advances.Read moreRead less
Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identi ....Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identifying RNA molecules that contribute to quantitative phenotypes including susceptibility to disease. As such, it will directly benefit fundamental science via the discovery and classification of new molecules. Indirectly, it will lead to breakthroughs in biology, and consequently to major medical and pharmaceutical advances in the diagnosis and treatment of genetic disease.Read moreRead less
Cross-Entropy Methods in Complex Biological Systems. The Cross-Entropy method provides a powerful new way to find superior solutions to complicated optimisation problems in biology, ranging from better design and implementation of medical treatments to an increased understanding of complex ecosystems.
Advances in Phylogenetic Comparative Methods. An understanding of our biota is impossible without understanding evolution, and developing ways to study it. The outcomes will be useful for biologists conducting theoretically important projects: understanding how and why species have evolved to be the way they are. In addition, the research will be of use to biologists studying more applied questions, such as how to predict whether certain species are likely to become endangered, go extinct, or wh ....Advances in Phylogenetic Comparative Methods. An understanding of our biota is impossible without understanding evolution, and developing ways to study it. The outcomes will be useful for biologists conducting theoretically important projects: understanding how and why species have evolved to be the way they are. In addition, the research will be of use to biologists studying more applied questions, such as how to predict whether certain species are likely to become endangered, go extinct, or whether certain species are likely to become invasive and feral. This research will maintain Australia as a leader in evolutionary biology by cementing strong collaborations with world-leading biologists and statisticians. Read moreRead less
From structures to systems: A hierachical approach to understanding sub-cellular components. This program will dramatically extend the range of biomolecular systems that can be modelled with near atomistic precision. It will provide a better understanding of the structure and function of proteins involved in the regulation of membrane fusion and fission as well as shedding light on the assembly of large-scale protein-protein and protein-membrane complexes in general. The work will help place Au ....From structures to systems: A hierachical approach to understanding sub-cellular components. This program will dramatically extend the range of biomolecular systems that can be modelled with near atomistic precision. It will provide a better understanding of the structure and function of proteins involved in the regulation of membrane fusion and fission as well as shedding light on the assembly of large-scale protein-protein and protein-membrane complexes in general. The work will help place Australia at the forefront of developing simulation techniques in biomolecular systems, which are widely used within the chemical and pharmaceutical industries for modelling processes ranging from protein-drug interactions to the phase behaviour of lipids and surfactants. Read moreRead less
Special Research Initiatives - Grant ID: SR0354636
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Australian Computational Molecular Science Network. Computational Molecular Science (CMS) involves the use of theory and computational methods to simulate and visualise molecular systems ranging from small atmospheric species to proteins, nucleic acids, chemical polymers and materials. It represents our most incisive expression of what we understand about the molecular basis of nature. The CMS network will integrate and cross-fertilize both fundamental and application-based expertize in molecula ....Australian Computational Molecular Science Network. Computational Molecular Science (CMS) involves the use of theory and computational methods to simulate and visualise molecular systems ranging from small atmospheric species to proteins, nucleic acids, chemical polymers and materials. It represents our most incisive expression of what we understand about the molecular basis of nature. The CMS network will integrate and cross-fertilize both fundamental and application-based expertize in molecular scale computations in the fields of nanoscience, biomaterials, biotechnology, biomedical science and environmental science. It will uncover and explore critical new interdisciplinary science and create new molecular-based paradigms that will drive advances in these fields over the next decade.Read moreRead less