Quantum Generative Diffusion Models for Molecular Research. This project will devise quantum generative diffusion models to equip classical counterparts with the ability to harness quantum data that naturally arise in molecular research. Theoretical foundations for analysing fast sampling methods with the help of inductive bias regarding the input data and employed circuits will validate efficient quantum generative diffusion models that have training and sampling advantages over classical count ....Quantum Generative Diffusion Models for Molecular Research. This project will devise quantum generative diffusion models to equip classical counterparts with the ability to harness quantum data that naturally arise in molecular research. Theoretical foundations for analysing fast sampling methods with the help of inductive bias regarding the input data and employed circuits will validate efficient quantum generative diffusion models that have training and sampling advantages over classical counterparts. Outcomes include applications in molecular conformation generation, compound screening, and drug design. The innovative research will significantly benefit Australia’s science, industry and health, and will maintain Australia’s global leading role in quantum machine learning and molecular research.Read moreRead less
Enabling Methodologies for the Synthesis of Biologically Active Compounds. This project seeks to establish flexible methods of chemical synthesis for creating new molecular scaffolds capable of achieving selective enzyme inhibition. The approach aims to exploit the vast and biologically-programmed structural diversity associated with natural products. Unique, small molecule organic compounds will be obtained that reveal details of the operation of key enzymes in bacterial and mammalian systems. ....Enabling Methodologies for the Synthesis of Biologically Active Compounds. This project seeks to establish flexible methods of chemical synthesis for creating new molecular scaffolds capable of achieving selective enzyme inhibition. The approach aims to exploit the vast and biologically-programmed structural diversity associated with natural products. Unique, small molecule organic compounds will be obtained that reveal details of the operation of key enzymes in bacterial and mammalian systems. Such new knowledge would allow for the design of highly selective therapeutic agents relevant to the treatment of a range of diseases including bacterial infections, diabetes and cancer. The high-end scientific training and privileged forms of matter arising from this work would provide major benefit to the biotech sector.Read moreRead less
Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes.
The outcomes ....Synthetic genes as reference standards for biology and biomanufacture. Reference standards are needed to improve the measurement of biology and the reliability of biomanufacturing processes. This project aims to engineer synthetic genes capable of acting as reference standards for DNA, RNA and protein. The synthetic genes can be transcribed into mRNA standards, and translated into protein standards, and be further integrated into living cells to measure internal cellular processes.
The outcomes include a unified understanding of gene expression and more accurate next-generation sequencing and mass-spectrophotometry technologies. The synthetic genes also allow standardisation and optimisation of biomanufacturing processes that will produce mRNA and biologics products at a higher purity and lower cost.Read moreRead less