Discovery Early Career Researcher Award - Grant ID: DE140101268
Funder
Australian Research Council
Funding Amount
$386,820.00
Summary
Stochastic mathematical modelling of the Wnt signalling pathway. The Wnt signalling pathway is pivotal in multicellular organisms, regulating cellular processes such as proliferation, apoptosis and migration. Faulty Wnt signalling is associated with degenerative diseases, developmental disorders and cancers and is therefore a potential target for therapeutic drugs. This project will perform a stochastic spatial simulation of the Wnt signalling pathway which will be matched to experimental data. ....Stochastic mathematical modelling of the Wnt signalling pathway. The Wnt signalling pathway is pivotal in multicellular organisms, regulating cellular processes such as proliferation, apoptosis and migration. Faulty Wnt signalling is associated with degenerative diseases, developmental disorders and cancers and is therefore a potential target for therapeutic drugs. This project will perform a stochastic spatial simulation of the Wnt signalling pathway which will be matched to experimental data. The model will be extended to integrate with the cell cycle. Increased proliferation in tumours has been linked to mutations in Wnt components. Using the extended model, the effect of Wnt-targeting therapeutic cancer drugs on cancer cell proliferation rates will be predicted and compared to experiments.Read moreRead less
Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to bu ....Mathematical and computational models for agrichemical retention on plants. Mathematical and computational models for agrichemical retention on plants. This project aims to build interactive software that simulates agrichemical spraying for multiple virtual plants reconstructed from scanned data. Mathematical modelling and computer simulation could offer an alternative to expensive experimental programs for agrichemical spraying of plants. This project will use contemporary fluid mechanics to build practical mathematical models for droplet impaction, spreading and evaporation on leaf surfaces, and experimentally calibrate and validate the models. The software is expected to drive the development of agrichemical products that increase retention, minimise environmental impacts, and reduce costs for end-users.Read moreRead less