With 300 million cases of malaria occurring yearly and resistance against existing drugs on the rise, novel network biology approaches provide a much-needed opportunity for major breakthroughs. We will generate a highly innovative time-series multi-protein dataset and perform comprehensive, time-dependent modelling of human cell signal networks that are perturbed by infection with malaria parasites. Complex biological networks constitute an extensive search space, which calls for advanced graph theory algorithms. Our approach will integrate data optimisation and graph theory with biomedical research into a data-rich solution to identify novel targets for antimalarial intervention.
|Effective start/end date||15/02/18 → 25/01/19|
- Monash University – Internal Faculty Contribution: AUD15,000.00
- Monash University – Internal School Contribution: AUD15,000.00