IBM Research Collaboratory for Life Sciences - Melbourne - Projects


IBM and University of Melbourne researchers collaborate on game changing research at the intersection of information technology and the life sciences. Research Agenda This research spans five key research programs:

  • Structural Biology
  • Large scale computational techniques can address a range of problems, including GPCR activation; protein structure prediction; protein folding, misfolding and aggregation; and protein-ligand binding and protein-protein interactions.
  • Medical Imaging
  • High performance computing can improve image reconstruction and post processing, neuroanatomical reconstruction and analysis, extraction and analysis of functional brain networks, biomarker development, and the development of machine learning and analysis techniques.
  • Neuroscience
  • Predictive computational and theoretical models of the brain that replicate biological observations using accepted components and mechanisms or achieve emergent neural system capabilities based on biologically consistent and plausible abstractions.
  • Systems Biology
  • Predictive models and computational methods permit the investigation and analysis of complex molecular mechanisms underlying diseases, for example, cancer and cardiovascular disease. These models can be constructed, simulated, analysed, and visualised through application of modern engineering and computational approaches, helping to bridge the gap between experimentally derived data and the underlying complex phenomena, and ultimately improve healthcare and enable personalised medicine.
  • Medical Genomics
  • The development of generic algorithms, practical solutions for data mining in the absence of knowledge of the nature of the data, and simulation methods can lead to a better understanding of the molecular biology underlying important biological systems and diseases.