Systems biology and pharmacology involves the application of systems biology approaches, integrating high throughput experimental data from different experimental techniques such as genomics and proteomics involving computational analytical approaches, to understand the mechanism of action of drugs, identify potential drug targets, use existing drugs for other disease indications and study adverse drug reactions.
The significance of using integrated approach is that it allows drug action and drug response to be studied in the context of whole genome or proteome. Basically, a strong and simplified platform for the development of systems pharmacology is provided by information from genetic studies, disease pathophysiology, pharmacology, protein-protein and protein-drug interactions.
Network analyses of interactions involved in disease pathophysiology and drug response will allow the integration of the systems-level understanding of drug action with genetic information enabling personalized medicine. Developments and insights from merging systems pharmacology and pharmacogenomics studies will provide new information on the complexities of disease associated with the identification of multiple targets for drug treatment and understanding adverse events caused by off-targets of drugs.
Reserach Focus
ØPredicting drug-target/drug/adverse drug reaction based on multi-scale systems biology model
ØThe study of multi-scale modeling approaches and key questions in systems pharmacology
ØThe study of the chemometrics algorithms solving pairwise data and its applications to the compound-protein interaction recognition
ØDatabase and computation plaform construction