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Functional Components
Experimental biology has been a very generic term for a long time, referring to any scientific process using experiments to decipher the complexity of plant, animal, or cell biology. In the context of this program, this term federates scientists generating relevant data to be effectively utilized in building mathematical models. The groups involved in this program are working in areas related to DNA repair, cancer initiation and progression, oncogenic signaling pathways, cancer invasion, kinase activation signatures and complex epigenetic interactions in neoplasms. In vitro and in vivo experiments will also serve in validating mathematical models once developed in silico.
Informational Technology/Computational Biology deals with the development of tools, languages and algorithms that can purposefully integrate the available information for building models of cancer processes at different levels of organization. These models are based on the available data and are expected to contain a predictive value that can direct the nature of further experiments. Developing a virtual tumor, a discrete Pathway Logic model that manages the concentrations of experimentally measured states (e.g., proteins, metabolites, cellular structures), a set of networks to predict cancer progression and initiation and a therapeutic predictive model based on DNA repair status of patients, are some of the various models that are currently being developed by different ICBP groups.
Education and Outreach component devise strategies and programs to disseminate the concept of systems biology and inspire young scientists to take it up as their career. This component would be crucial in fostering the idea of integrated research among various disciplines. This is being achieved by staging different workshops, seminars and meetings that would be available at (link to be provided).
ICBP with a strong network of nine interdisciplinary groups provide a framework to develop systems biology and its much needed usage in cancer research. A set of resources used to implement this approach are available for the group members as well as larger scientific community. There are several avenues of engagement available for young and established investigators.
section maintained by M.A. Aziz
