ABSTRACT
Systems biology studies the nature of biological systems that allow gene products to be linked together in nonlethal and even useful combinations and to understand the special properties that allow them to function together to generate different phenotypes (Kirschner 2005). In essence, network biology is the framework of systems biology. Full genome sequences have provided complete part lists for the molecular networks and have spurred the take-off of systems biology. The part lists allow construction of raw maps of the molecular networks at a genome-wide scale and in an unbiased way; these raw maps then form the backbone for further computational annotation and inference of the networks; both the experimentally and computationally derived networks then allow examination of the structural or topological properties of the networks, and their link to biological properties of the networks, such as the robustness and modularity of the networks. Ultimately the dynamic networks under a certain biological condition or within a certain biological context can be identified and
