Bioinformatics Group

The group was established in 2004 by Prof Shoba Ranganathan originally under the auspices of the Macquarie University Biotechnology Research Institute (MUBRI) and with support from the Division of Environmental and Life Sciences. We are currently in the Department of Chemistry and Biomolecular Sciences (CBMS), Macquarie University.

We are a collegial and energetic group of researchers dedicated to making breakthrough discoveries in biological and biomedical sciences by applying genetic, genomic and computational approaches to address and solve the problems faced by researchers in Molecular, Cellular and Biomedical Sciences, while advancing cutting-edge computational biology research, at the highest levels of excellence.

Areas of Interest and Research Focus

Our key areas of interest are Computational Structural Biology, Sequence Variations, Biodiversity Informatics, Cheminformatics, Drug Designing and Mass Spectrometry Data Analysis


Computational structural biology

  • Applying computational methods to identify potential T cell epitopes for vaccine design
  • Mapping disease causing mutations (especially in human) to protein structures for genotype-phenotype correlations
  • Identifying the characteristics for structural domain interfaces to predict potential protein interactions

Variations at genome, transcriptome and proteome levels

  • Alternative splicing events by whole genome comparisons
  • Characterizing background variations from deleterious changes
  • Biomarkers discovery from a Boolean based integrated approach

Computer-Aided Drug Designing

  • Identification of novel and more potent lead compounds against disease targets
  • Application of molecular dynamics simulation and docking strategies to study potential drug-receptor interactions
  • Characterization of protein structural modifications using advanced computational techniques

Image result for biodiversityBiodiversity informatics and cheminformatics

  • Australian aboriginal medicinal plant relevance and distribution
  • Bioactive characterization
  • Cheminformatics studies of drugs, toxins and metabolites for predicting novel therapeutics