Cancer is a disease characterized by uncontrolled cellular growth. Cancer biology comprises of multiple interactive complex systems, with numerous convergent and divergent signaling pathways. Available data resources allow systems biology to understand and describe it for the development of predictive models for novel drug discovery to control cancer.

At HH Bio, we apply four distinct Systems Biology approaches- system structure, system dynamics, system control and system design to facilitate early drug discovery molecules. We treat cancer as exception of biological robustness that arises due to fluctuations in functional modules that control systems robust behavior. To understand that process at systems level we are building networks for prostate cancer. Through our network model we put emphasis on following key issues :

Modeling of complex interactions between cancer cells and microenvironment
Dynamics of proteins involve in cancer signaling
Multi-layered regulation network
Genetic and epigenetic changes

Feedback analysis with existing drugs and their clinical data-With the help of above factors we are designing genome scale robust cancer network for prostate cancer. We are optimistic for prediction accuracy of our network model for novel target identification and toxicity analysis of biological entities specifically design for prostate cancer.